M. Tech. Communication Engineering and Signal Processing

ACADEMIC REGULATIONS

COURSE STRUCTURE AND SYLLABI

M.TECH.

COMMUNICATION ENGINEERING AND SIGNAL

PROCESSING

(Department of Electronics and Communication Engineering)

2018 – 2019

(Choice Based Credit System)

GAYATRI VIDYA PARISHAD

COLLEGE OF ENGINEERING

(AUTONOMOUS)

Re-Accredited by NAAC with A Grade with a CGPA of 3.47/4.00

Affiliated to JNTUK-Kakinada

MADHURAWADA, VISAKHAPATNAM – 530 048

VISION

To evolve into and sustain as a Centre of Excellence in

Technological Education and Research with a holistic approach.

MISSION

To produce high quality engineering graduates with the requisite

theoretical and practical knowledge and social awareness to be able

to contribute effectively to the progress of the society through their

chosen field of endeavor.

To undertake Research & Development, and extension activities in

the fields of Science and Engineering in areas of relevance for

immediate application as well as for strengthening or establishing

fundamental knowledge.

FOREWORD

The GVP college of Engineering (Autonomous) has entered into a new

phase as it completed one cycle of autonomy. Recently the Autonomy

has been extended for six more years(2014-2020) by UGC, the

affiliating University JNTU-K. The experiences with the experiments

and innovations brought into the curriculum with the help of autonomy

are proving successful and encouraging.

The paradigm shift in the curriculum design has been brought into the

system in 2013 in the form of Out Come Based Education (OBE) and

the systems and processes are stabilized in this regard.

Recently, the Choice Based Credit System (CBCS) has been introduced

along with the grading system as per the guidelines of UGC, to offer

more choice, facilitate the cross mobility and uniformity across the

country.

The concepts of Pedagogical training and Industrial training are also

introduced after II semester as an elective to enable the graduates

sharpen their skills.

Credits are introduced for Dissertation work to infuse more seriousness

and as a qualitative measure of the work carried out.

I thank all the expert members, Industry representatives, University

representatives and all other members on Boards of Studies, Academic

Council who helped us in brining a good shape to the curriculum.

I also thank the members of the Governing Body for their constant

support and guidance in all our academic endeavors.

I hope with these changes, the curriculum will be more beneficial to the

students to make them ready to face the elite society and the challenges

ahead.

PRINCIPAL

DEPARTMENT OF Electronics and

communication ENGINEERING

Vision

The vision of Electronic and Communication Engineering Department

is to be in the lead to create and develop professional and intellectual

human capital in electronics and communication engineering and

applications in order to foster the technological, economic and social

enrichment of the state and the nation and to contribute to global

village connectivity

Mission

To play professional role to create, develop, organise and manage

complex technologies and products, contribute to the betterment of

society and evolve better quality of living in a world increasingly

influenced by scientific and technological innovation.

To provide students of E &C Engineering an environment of

academic freedom that will insure the exchange of ideas and the

dissemination of knowledge in this discipline.

To Recognize as a place that encourages research excellence and

diversity in thought and endeavor in multidisciplinary applications

MEMBERS ON THE BOARD OF STUDIES

IN

ELECTRONICS AND COMMUNICATION

ENGINEERING

Dr. N. Bala Subrahmanyam Chairman BoS

Professor, Department of Electronics and Communication

Engineering, G.V.P. College of Engineering (A), Visakhapatnam

Dr. M.V.S. Sairam Professor & Head, Department of Electronics and Communication

Engineering, G. V. P College of Engineering (A), Visakhapatnam

Dr. A. Mallikarjuna Prasad Professor of ECE & Vice Principal, University College of

Engineering Kakinada (Autonomous), JNTU Kakinada, Kakinada,

Dr. K. Rajgopal Professor, Department of Electrical Engineering, IISc- Bengaluru,

Bengaluru, Karnataka

Dr. S.K. Patra Director, IIIT - Vadodara, Gandhinagar, Gujarat,

Sri D.V.R. Murty Vice-President, INVECAS, Plot 90, Road No. 2, Banjara Hills,

Hyderabad

Sri M.S. Abhishek IC Design Engineer, Broadcom India Research Pvt. Ltd., Varthur

Hobil, Bengaluru, Karnataka,

All Faculty members of the Department

M.Tech. communication

engineering and signal

processing

Programme Educational

Objectives (PEOs):

After 3-5 years of graduation the graduate shall be able to

PEO1 Comprehend frontier areas of knowledge and instill appetite

for higher learning and research in Communication areas.

PEO2 Gain breadth of Engineering & Technological knowledge to

comprehend analyze, design and create novel products &

solutions for real life problems.

PEO3 Be a professional to perform with academic excellence,

leadership and ethical guidelines needed for a lifelong

productive career.

Program Outcomes:

At the end of the programme the student shall be able to

1. Apply the knowledge of Electronics and Communication

Engineering to solve complex problems in communications and

signal processing.

2. Identify, formulate and analyze problems related to

communications and signal processing area and substantiate the

conclusions using the first principles of sciences and engineering.

3. Design solutions for communications and signal processing

problems and design system components and processes that meet

the specified needs with appropriate consideration for public

health and safety.

4. Perform analysis and interpretation of data by using research

methods such as design of experiments to synthesize the

information and to provide valid conclusions.

5. Select and apply appropriate technique from the available

resources and modern tools, and will be able to predict and model

complex engineering activities with an understanding of the

practical limitations.

6. Collaborate with engineers of other disciplines and work on

projects which require multi-disciplinary skills.

7. Demonstrate knowledge and understanding of the engineering

and management principles and apply the same while managing

projects in multidisciplinary environments.

8. Communicate fluently on complex engineering activities with the

engineering community and society, and will be able to prepare

reports and make presentations effectively.

9. Engage themselves in independent and life-long learning in the

broadest context of technological change while continuing

professional practice in the Communication technologies.

10. Transform into responsible citizens by resorting to professional

ethics and norms of the engineering practice.

11. Carry out tasks by working independently and also in a group of

members.

PROGRAMME SPECIFIC OUTCOMES:

1. Design, analyze and model wired and wireless communication

systems.

2. Analyze, design and implement various signal, video and image

processing techniques.

GVP COLLEGE OF ENGINEERING (A) 2018

M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING i


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING ii

ACADEMIC REGULATIONS (UNDER CHOICE BASED CREDIT SYSTEM EFFECTIVE FROM 2015-16 ADMITTED BATCH)

The M.Tech. Degree of Jawaharlal Nehru Technological University

Kakinada shall be recommended to be conferred on candidates who

are admitted to the program and fulfill all the following requirements

for the award of the Degree:

1.0ELGIBILITY FOR ADMISSION:

Admission to the above program shall be made subject to the

eligibility, qualifications and specialization as per the guidelines

prescribed by the APSCHE and AICTE from time to time.

2.0 AWARD OF M.TECH. DEGREE:

a. A student shall be declared eligible for the award of the M.Tech.

degree, if he pursues a course of study and completes it

successfully for not less than two academic years and not more

than four academic years from the year of first admission.

b. A student, who fails to fulfill all the academic requirements for the

award of the Degree within four academic years from the year of

his admission, shall forfeit his seat in M.Tech. programme.

3.0 STRUCTURE OF THE PROGRAMME:

Semester No. of courses Credits

I 5 THEORY + PE-I + 1 LAB +

ATCSL 6*3 + 2*2 22

II 5 THEORY + PE-II + 1 LAB 6*3 + 1*2 20

PEDAGOGY TRAINING / INDUSTRIAL TRAINING 2

III DISSERTATION 36

IV DISSERTATION (contd.)

TOTAL 80

PE: Professional Elective; ATCSL: Advanced Technical

Communication Skills Lab (in I/II semester)


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING iii

Each course is normally assigned a certain number of credits as

follows:

3 credits for 3 lecture periods per week.

2 credits for 3 laboratory periods per week.

4.0 REGISTRATION: A student shall register for courses in each

semester at the beginning, from I semester onwards according to the

choice provided and courses offered by the concerned department.

5.0 ATTENDANCE REQUIRMENTS

a. The attendance shall be considered course wise.

b. A candidate shall be deemed to have eligibility to write his/her end

semester examinations in a course if he has put in at least 75% of

attendance in that course.

c. Shortage of attendance up to 10% in any course (i.e. 65% and

above and below 75%) may be condoned by a Committee on

genuine and valid reasons on representation by the candidate with

supporting evidence.

d. Shortage of attendance below 65% shall in no case be condoned.

e. A student who gets less than 65% attendance in a maximum of two

courses in any semester shall not be permitted to take the end-

semester examination in which he/she falls short. His/her

registration for those courses will be treated as cancelled. The

student shall re-register and repeat those courses as and when they

are offered next.

f. If a student gets less than 65% attendance in more than two courses

in any semester he/she shall be detained and has to repeat the entire

semester.

g. The attendance requirements are also applicable to Industrial

training and Pedagogy training.

6.0 METHOD OF EVALUATION:

The performance of a student in each semester shall be evaluated

course-wise with a maximum of 100 marks each for theory, practical

course.


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING iv

6.1 Theory: The assessment shall be for 40 marks through

Continuous Internal evaluation and 60 marks through end-semester

examination of three hours duration.

6.2 Continuous Internal evaluation: One part of the internal

evaluation shall be made based on the average of the marks secured in

the two internal examinations of30 marks each conducted one in the

middle of the Semester and the other at the end of the semester. Each

mid-term examination shall be conducted for duration of 90 minutes

with 3 questions without any choice. The remaining 10 marks are

awarded through an average of continuous evaluation of assignments /

seminars / any other method, as notified by the teacher at the

beginning of the semester.

6.3 End-semester examination: For 80% of the theory courses, the

question paper shall be set externally and valued both internally and

externally. A chief examiner appointed for each course shall monitor

the valuation process. If the difference between the first and second

valuations is less than or equal to 9 marks, the better of the two

valuations shall be awarded. If the difference between the first and

second valuation is more than 9 marks, the chief examiner shall value

the script. The marks given by the chief examiner shall be final. For

the remaining 20% of the theory courses (as notified by the Principal),

the end semester evaluation shall be totally internal.

6.4 Laboratory: All Laboratory courses, in I and II Semesters, shall

be evaluated for 100 marks, out of which for 50 marks, through

external examination at the end of the semester and for 50 marks

through internal evaluation. The 50 internal marks are distributed as

25 marks for day-to-day work in two cycles and 25 marks for internal

examination. The internal examination shall be conducted by the

teacher concerned and another faculty member of the same

department once for each cycle of instruction period and average of

the two shall be considered for award of marks. 10 out of 12 to 16

experiments/exercises shall be completed in a semester.


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING v

6.5 Pedagogy training shall be for a period of atleast 4 weeks and

evaluation shall be totally internal for 100 marks based on the

performance during the training.

6.6 Industrial training shall be for a period of atleast 4 weeks and a

report has to be submitted by the end of III semester. The assessment

shall be carried out for 100 marks during IV semester by an internal

evaluation committee comprising Head of the Department and two

faculty of the department including the project Supervisor.

6.7 Supplementary examinations: Supplementary examinations for

the odd semester shall be conducted with the regular examinations of

even semester and vice versa.

A student who failed in the end examination shall be given one

chance to re-register for each course provided the internal marks

secured by him in that course is less than 50%. In such a case, the

student must re-register for the course(s). In the event of re-

registration, the internal marks and end examination grades obtained

in the previous attempt are nullified.

7.0 EVALUATION OF DISSERTATION WORK:

Every candidate shall be required to submit the dissertation after

taking up a topic approved by the Departmental Research Committee

(DRC).

a. A Departmental Research Committee (DRC) shall be constituted

with the Chairman nominated by the Principal, two senior faculty as

Members along with the supervisor to oversee the proceedings of

the dissertation work from allotment of topic to submission.

b. A Central Research Committee (CRC) shall be constituted with a

Professor as Chair Person, Heads of the Departments that are

offering the M.Tech. programs and two other senior faculty

members.

c. Registration of Dissertation Work: A candidate shall register for the

Dissertation work in the beginning of the second year, only after

satisfying the attendance requirement of all the courses upto II


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING vi

semester. The duration of the Dissertation work is for two

semesters.

d. After satisfying 7.0 c, a candidate has to submit, in consultation

with his supervisor, the title, objective and plan of action of his

project work to the DRC for its approval. Only after obtaining the

approval of DRC the student can initiate the Dissertation work.

e. If a candidate wishes to change his/her supervisor or topic of the

Dissertation work he can do so with the approval of the DRC. If so,

his date of registration for the Dissertation work shall start from the

date of change of Supervisor or topic as the case may be whichever

is earlier.

f. Evaluation of the dissertation shall be done twice, one at the end of

the III Semester and the other during the IV Semester.

g. The evaluation at the end of III semester shall be carried out by

DRC1 for 10 marks based on the presentation made by student on

the topic selected, literature survey and the progress of the work.

The student shall be permitted to proceed for the remaining work in

IV semester if he / she gets atleast 5 marks. Otherwise, the student

shall reappear for DRC1 with improvised work.

h. The evaluation during IV semester shall be carried out through

DRC2, DRC3, and CRC respectively each for 10 marks.

i. A candidate shall be permitted to submit his dissertation only after

successful completion of all theory and practical course with the

approval of CRC but not earlier than 40 weeks from the date of

registration of the project work. The candidate shall make an oral

presentation before the CRC and after the approval by CRC,

plagiarism check shall be conducted for the Dissertation and shall

submit a draft copy to the Principal through the concerned Head of

the Department.

j. Three copies of the dissertation certified by the Supervisor shall be

submitted to the College after approval by the CRC.

k. For the purpose of adjudication of the dissertation, an external

examiner shall be selected by the Principal from a panel of 5

examiners who are experienced in that field proposed by the Head

of the Department in consultation with the supervisor.


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING vii

l. The final evaluation, i.e., viva-voce examination, for 60 marks,

shall be conducted by a board consisting of the supervisor, Head of

the Department and the external examiner.

m. A student is deemed to be failed, if he secures less than 30

marks in the external viva-voce examination or less than 50 marks

from both internal and external viva-voce examination put together

and shall be awarded Fail grade (F). In such a case, the candidate

shall revise and resubmit the dissertation, in a time frame prescribed

by the CRC. If the student fails once again, the dissertation shall be

summarily rejected and the candidate shall change the topic and go

through the entire process afresh.

8. ACADEMIC REQUIREMENTS:

a. In case of theory courses having both internal and end semester

examination, a student is deemed to be failed if he secures less than

24 marks in the end semester examination or less than 50 marks

from both internal and end semester examination put together. For

all courses having examination at the end, a student is deemed to

be failed if he secures less than 50 marks.

b. In case of Practical courses having both internal and end semester

examination/evaluation, a student is deemed to be failed if he

secures less than 25 marks in the end semester examination or less

than 50 marks from both internal and end semester examination put

together. A student is deemed to be failed in dissertation, if he

secures less than 30 marks in the external viva-voce examination or

less than 50 marks from both internal and external viva-voce

examination put together. In case of Pedagogy Training / Industrial

Training / Advanced Technical Communication Skills Lab having

examination / evaluation at the end, a student is deemed to be

failed if he secures less than 50 marks.

9.0 Grading System: Absolute grading system shall be followed for

the award of grades.

9.0.1Grade Point: It is a numerical weight allotted to each letter

grade on a 10-point scale.


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING viii

9.0.2 Letter Grade: It is an index of the performance of students in a

said course. Grades are denoted by letters O, A+, A, B+, B and F.

Based on the marks secured, a Grade Point is awarded for each theory

course / lab course / dissertation work / Pedagogy Training / Industrial

Training along with a corresponding Letter Grade as per the

following:

Grades and Grade Points

Letter Grade Grade

Point

Marks range

Theory Practical/Training/

Dissertation

O (Outstanding) 10 90-100 90-100

A+ (Excellent) 9 80-89 80-89

A (very good) 8 70-79 70-79

B+ (Good) 7 60-69 60-69

B (Above average) 6 *50-59 *50-59

F (Fail/Detained) 0 - -

Ab (Absent) 0 - -

* Pass mark

9.0.3. Credit Point: It is the product of grade point and number of

credits for a course.

9.0.4.The award of class and division after acquiring eligibility for the

award of M.Tech., degree is as per the following:

First class with distinction CGPA ≥ 7.75

First class 6.75 ≤ CGPA < 7.75

Second class 6.00 ≤ CGPA < 6.75

9.0.5. CGPA to Percentage of Marks Conversion:

At the end of the Programme,

Equivalent percentage of marks = (CGPA-0.75)*10


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING ix

9.1 Computation of Semester Grade Point Average (SGPA) and

Cumulative Grade Point Average (CGPA):

The SGPA is the ratio of sum of the product of the number of credits

with the grade points scored by a student in all the courses taken by a

student and the sum of the number of credits of all the courses

undergone by a student in a semester, i.e

SGPA (Si) = Σ(Cix Gi) / ΣCi

where Ci is the number of credits of the ith

course and Gi is the grade

point scored by the student in the ith

course.

The CGPA is also calculated in the same manner taking into account

all the courses undergone by a student over all the semesters of a

programme, i.e.

CGPA = Σ(Cix Si) / Σ Ci

where Si is the SGPA of the ith

semester and Ci is the total number of

credits in that semester. The SGPA and CGPA shall be rounded off to

2 decimal points and reported in the transcripts.

Transcript for each semester shall be issued containing letter grades

and grade points along with attendance grade, for each of the courses

registered, SGPA of that semester and CGPA up to that semester.

Marks will not be displayed on the transcript.

A consolidated transcript indicating the performance in all semesters

shall also be issued.

Note: The CGPA ranges for the award of class or division shall be as

decided by the affiliating University.

9.2 AWARD OF THE M.TECH. DEGREE: A student shall secure

a pass in all courses corresponding to 80 credits to be eligible for the

award of the M.Tech. degree.

9.3 PROVISION FOR IMPROVEMENT OF CGPA: A student

shall be permitted to improve his class or division from PASS CLASS

to SECOND CLASS or SECOND CLASS to FIRST CLASS after

successful completion (passing all the courses) of the programme. He

/ She may be allowed to appear for supplementary examinations and


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING x

earn grade points for improvement from at the most two courses of

his / her choice. The improvement provision shall be limited to one

attempt.

10. WITHHOLDING OF RESULTS:

If the candidate has not paid any dues to the college or if any case of

indiscipline is pending against him, the result of the candidate shall be

withheld and he will not be allowed into the next higher semester.

The recommendation for the issue of the degree shall be liable to be

withheld in all such cases.

11. TRANSITORY REGULATIONS:

a. A candidate who has discontinued or has been detained for want of

attendance or who has failed after having studied the course, is

eligible for admission to the same or equivalent course(s) as and

when course(s) is/are offered, subject to 5.0 and 2.0.

b. Credit equivalences shall be drawn for the students re-admitted into

2015 regulations from the earlier regulations. A Student has to

register for the substitute / compulsory / pre-requisite courses

identified by the respective Boards of Studies.

c. The student has to register for substitute courses, attend the classes

and qualify in examination and earn the credits.

d. The student has to register for compulsory courses, attend the

classes and qualify in examination.

e. The student has to register for the pre-requisite courses, attend the

classes for which the evaluation is totally internal.

12.0 General:

i. Where the words „he‟, „him‟, „his‟, occur, they imply „she‟, „her‟,

„hers‟, also.

ii. The academic regulation should be read as a whole for the purpose

of any interpretation.

iii. In the case of any doubt or ambiguity in the interpretation of the

above rules, the decision of the Chairman, Academic Council is

final.

The college may change or amend the academic regulations or syllabi

from time to time and the changes or amendments made shall be


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING xi

applicable to all the students with effect from the dates notified by the

college.


M.TECH- COMMUNICATION ENGINEERING AND SIGNAL PROCESSING 1

M.TECH- COMMUNICATION ENGINEERING AND SIGNAL

PROCESSING

COURSE STRUCTURE

SEMESTER-I

COURSE

CODE

NAME OF THE COURSE L P C

15EC2101 Data Communications 3 0 3

15EC2102 Advanced Digital Signal Processing 3 0 3

15EC2103 Fiber Optic Communication Systems 3 0 3

15EC2104 Transform Techniques 3 0 3

15EC2105 Radar Signal Processing 3 0 3

15EC2106

15EC2107

15EC2204

15EC2202

Elective – I

1. Signal Detection and Estimation Theory

2.Array Signal Processing

3.Microcontrollers and Applications

4. VLSI Technology and Design

3 0 3

15HE2101 Advanced Technical Communication Skills 0 3 2

15EC2108 Digital Signal Processing Lab 0 3 2

TOTAL 22

SEMESTER-II

COURSE

CODE


15EC2109 Information Theory and Coding 3 0 3

15EC2110 Image and Video Processing 3 0 3

15EC2111 Advanced Mobile Communications 3 0 3

15EC2112 Adaptive Signal Processing 3 0 3

15EC2113 DSP Processors and Architecture 3 0 3

15EC2114

15EC2115

15EC2116

15EC2117

Elective – II

1.Statistical Signal Processing

2.RF Circuit Design

3. Neural Networks and Fuzzy Logic

Control

4. ADHOC Networks

3 0 3



15EC2118 Advanced Communication Laboratory 0 3 2

TOTAL 20

PEDAGOGY TRAINING / INDUSTRIAL TRAINING DURING

THE BREAK PERIOD

AFTER II SEMESTER BEFORE III SEMESTER

SEMESTER-III

COURSE

CODE


15EC21DW Dissertation Work

15EC21PT/

15EC21IT

Pedagogy Training / Industrial Training 2

TOTAL 2

SEMESTER-IV

COURSE

CODE


15EC21DW Dissertation Work(contd.) 36

Syllabi for

I-Semester



DATA COMMUNICATIONS

Course Code:15EC2101 L P C

3 0 3

Pre requisites: Communication Systems Basics

Course Outcomes:

CO1: Describe various transmission modes and Network topologies.

CO2: Design Multiplexing techniques such as TDM and FDM.

CO3: Explain Switching systems for data transmission.

CO4: Demonstrate Data communication protocols.

CO5: Comprehend Line Protocols and Congestion Protocols.

UNIT I (10-Lectures)

DATA COMMUNICATION METHODS:

Data Communication Circuits, point-to-point, Multi-point

configurations and Topologies, Broadcasting, multicasting

configuration, transmission modes, 2-wire and 4-wire operations,

Codes, Error detection methods, Error correction methods, Character

synchronization.

UNIT II (10-Lectures)

SWITCHING TECHNIQUES:

Circuit Switching, Message Switching and Packet Switching

principles, Virtual circuit and datagram techniques, X.25 and frame

relay.

UNIT III (10-Lectures)

DIGITAL MULTIPLEXING:

Multiplexers, Statistical multiplexer, Concentrator, front-end

communication processor, Digital PBX, long haul communication

with FDM, Hybrid data, TDM, T1, E1 carrier systems, CCITT-TDM

carrier system, CODEC chips, Digital hierarchy, Line Encoding,

Frame Synchronization.



UNIT IV (10-Lectures)

DATA COMMUNICATION PROTOCOLS:

Asynchronous protocols, Synchronous protocols, Bisync Protocol,

SDLC, HDLC-Frame format, ATM Frame format, Flow control and

error control.

UNIT – V (10-Lectures)

LINE PROTOCOLS AND CONGESTION CONTROL:

Line protocols: Basic mode, Half-duplex point-to-point protocol,

Half-Duplex Multi-Point Protocol, Full-Duplex Protocols, Polling,

Roll Call and Hub Polling, Traffic management, Congestion control

in packet switching networks and Frame relay.

TEXT BOOKS:

1. W. TOMASI, “Advanced Electronic Communications Systems”,

PHI, 2003.

2. William Stallings, “Data and Computer Communications”, 8/e,

PEI, 2007.

REFERENCE BOOKS:

1. B.A.Forouzon, “Data Networking Communications and

Networking”, 4/e, TMH, 2007.



ADVANCED DIGITAL SIGNAL PROCESSING


3 0 3

Pre requisites: Digital Signal Processing

Course Outcomes: Upon completion of the course, the student will

be able to

CO1: Comprehend the DFTs and FFTs.

CO2: Design and Analyze the digital filters.

CO3: Acquire the basics of multirate digital signal processing.

CO4: Analyze the power spectrum estimation (4 or 5 methods).

CO5: Comprehend the Finite word length effects in Fixed point DSP

Systems.


DISCRETE AND FAST FOURIER TRANSFORMS: Properties of DFT, Linear Filtering methods based on the DFT,

Overlap-save, Overlap -Add methods, frequency analysis of signals,

Radix-2 FFT and Split- Radix FFT algorithms, The Goertzel and

Chirp Z transform algorithms.


DESIGN OF IIR AND FIR FILTERS:

Design of IIR filters using Butterworth & Chebyshev approximations,

frequency transformation techniques, structures for IIR systems –

cascade, parallel, lattice & lattice-ladder structures, Fourier series

method, Windowing techniques, design of digital filters based on least

– squares method, pade approximations, least squares design, wiener

filter methods, structures for FIR systems –cascade, parallel, lattice &

lattice-ladder structures.


MULTI RATE SIGNAL PROCESSING:

Decimation by a factor D, Interpolation by a factor I, Sampling rate

conversion by a rational factor I/D, Filter design & Implementation



for sampling rate conversion, filter banks, sub band coding, polyphase

filters.


POWER SPECTRAL ESTIMATION:

Estimation of spectra from finite duration observation of signals,

Non-parametric methods: Bartlett, Welch & Blackman &Tukey

methods, Relation between auto correlation & model parameters,

Yule-Walker& Burg Methods, MA & ARMA models for power

spectrum estimation.

UNIT-V (10-Lectures)

ANALYSIS OF FINITE WORD LENGTH EFFECTS IN FIXED-

POINT DSP SYSTEMS: Fixed, Floating Point Arithmetic – ADC quantization noise & signal

quality – Finite word length effect in IIR digital Filters – Finite word-

length effects in FFT algorithms.

TEXTBOOKS:

1. Proakis, John G. "Digital signal processing: principles, algorithms,

and application-3/E." 1996.

2. Oppenheim, Alan V., Ronald W. Schafer, and John

R.Buck.“Discrete-time signal processing.” Vol. 2. Englewood

Cliffs: Prentice-hall, 1989.

REFERENCE BOOKS:

1. S. M .Kay, “Modern spectral Estimation techniques”, PHI, 1997.

2. Ifeachor, Emmanuel C., and Barrie W. Jervis. “Digital signal

processing: a practical approach.” Pearson Education, 2002.



FIBER OPTIC COMMUNICATION SYSTEMS


3 0 3

Course Outcomes: After completion of the course, the student is able to

CO1: Distinguish Step Index, Graded index fibers and compute

mode volume.

CO2: Explain the Transmission Characteristics of fiber and

Manufacturing techniques of fiber/cable.

CO3: Classify the construction and characteristics of optical sources

and detectors.

CO4: Discuss splicing techniques, passive optical components and

explain noise in optical system.

CO5: Design short haul and long haul Analog/ Digital optical

communication system and explain advanced optical

transmission systems.

UNIT-I (10-Lectures)

INTRODUCTION:

Historical development, advantages of OFC, Ray theory transmission-

total internal reflection, acceptance angle, numerical aperture, skew

rays, fiber materials-glass fibers, halide glass fibers, active glass

fibers, plastic clad glass fibers, plastic fibers,Step Index Fiber, Graded

Index Fiber, Modes in Step Index Fibers, Modes in Graded Index

Fibers, Pulse Distortion and Information Rate in Optic Fibers.

UNIT-II (10-Lectures) SIGNAL DEGRADATION AND MANUFACTURING

TECHNIQUES:

Attenuation-absorption, scattering, radiation losses, intra modal and

intermodal dispersion, polarization mode dispersion. Construction of

Optic Fibers, Optic Fibers, Optic Fiber Cables.

UNIT-III (10-Lectures) LIGHT SOURCES AND DETECTORS:

Light-Emitting Diodes, Light-Emitting – Diodes Operating

Characteristics, Laser Principles, Laser Diodes, Laser-Diode



Operating Characteristics, Distributed – Feedback Laser Diode,

Optical Amplifiers, Fiber Laser, Vertical-Cavity Surface-Emitting

Laser Diodes, Principles of Photo detection, Photomultiplier,

Semiconductor Photodiode, PIN Photodiode, Avalanche Photodiode.

UNIT-IV (10-Lectures)

COUPLERS, CONNECTORS AND MODULATION:

Principles, Fiber end Preparation, Splices, Connectors, Source

Coupling, Distribution Networks and Fiber Components, Distribution

Networks, Directional Couplers, Star Couplers, Switches, Fiber

Optical Isolator, Attenuator, Circulator and Polarization Controller.

Light-Emitting-Diode Modulation and Circuits, Laser-Diode

Modulation and Circuits, Analog-Modulation Formats, Digital-

Modulation Formats, Optic Heterodyne Receivers, Thermal and Shot

Noise, Signal-to-Noise Ratio, Error Rates, Modal Noise, Amplifier

Noise, Laser Noise, receiver Circuit Design.


SYSTEM DESIGN AND OPTICAL FIBER MEASUREMENTS:

Analog System Design, Digital System Design, Introduction,

measurement of attenuation, dispersion, refractive index profile,

numerical aperture, diameter and field, principles of DWDM,

introduction to Synchronous Digital Hierarchy, Optical switching.

TEXT BOOKS:

1. Joseph. C. Palais, “Fiber Optic Communications”, Pearson

Education, Asia, 2002.

2. Senior, John M., and M. Yousif Jamro, “Optical fiber

communications: principles and practice” Pearson Education,

2009.

REFERENCE BOOKS:

1. Keiser, Gerd,“Optical fiber communications”, John Wiley & Sons,

Inc., 2003.



TRANSFORM TECHNIQUES


3 0 3

Pre requisites: Signals and Systems, Digital Signal Processing.

Course Outcomes: Upon completion of the course, the student will

be able to

CO1: Comprehend the various two dimensional transforms and their

applications.

CO2: Analyze and compare the different image transforms.

CO3: Comprehend the time-frequency analysis of transforms.

CO4: Design and Analyze the continuous and discrete wavelet

transforms.

CO5: Analyze the orthogonal wavelets and Multi Resolution

Analysis of transforms.


TWO DIMENSIONAL TRANSFORMS-I:

Introduction, need for transforms, concept of Two Dimensional

Fourier transforms- properties & their significance, energy & power

spectral density functions, Discrete Cosine Transform and

applications.

UNIT-II (10-Lectures)

TWO DIMENSIONAL TRANSFORMS-II:

Walsh transform, Hadamard transform, Haar Transform, Slant

transform, KL transform, Singular Value Decomposition, Hough

Transforms, Radon Transforms, and comparison of different Image

transforms.

UNIT-III (10-Lectures)

TIME-FREQUENCY ANALYSIS:

Window function, Short Time Fourier Transform, Properties of STFT,

Discrete Short Time Fourier Transform, The origin of wavelets,



Continuous Wavelet Transforms (CWT), The Uncertainty Principle

and Time frequency Tiling, Properties of wavelets in CWT.


DISCRETE WAVELET TRANSFORMS:

Introduction to the Discrete Wavelet Transforms, Continuous versus

Discrete Wavelet Transform, Haar Scaling and Wavelet Functions

and Function Space, Translation and Scaling, Orthogonality of

Translates, Function Space, Nested Spaces, Scaled Haar Wavelet

Functions and Orthogonal Wavelets, Support of Wavelet System,

Daubechies Wavelets, Applications of DWT.

UNIT-V (10-

Lectures)ORTHOGONAL WAVELETS AND MRA:

Refinement Relation for Orthogonal Wavelet Systems, Restrictions

on Filter Coefficients, Signal Decomposition and Relationship with

Filter Banks, Frequency Response, Signal Reconstruction, Perfect

Matching Filters, Multi-Resolution Analysis (MRA), Two Scale

Relations, Ortho Normal Wavelets, Their Relationship to Filter

Banks, PR QMF Filter Banks.

TEXT BOOKS:

1. Jain, Anil K. “Fundamentals of digital image processing”.

Prentice-Hall, Inc., 1989.

2. K.P. Soman and K.I Ramachandran, “Insight into Wavelets from

Theory to Practice”, PHI, 2nd edition, 2008.

REFERENCES:

1. C. Gonzalez & Redwoods, “Digital Image Processing”, 1/e,

Prentice-Hall 2001.

2. Rao, Raghuveer M., and Ajit S. Bopardikar. "Wavelet transforms:

introduction to theory and applications." 1/e, Prentice Hall, 1998.

3. Goswami, Jaideva C., and Andrew K. Chan. “Fundamentals of

wavelets: theory, algorithms, and applications”. 2/e, John Wiley &

Sons, 2011.



RADAR SIGNAL PROCESSING


3 0 3

Pre requisites: Analog and digital communication systems, DSP,

Basic Radar engineering.

Course Outcomes:After completion of the course, the student will be

able to

CO1: Revisit analysis of radar fundamentals and design matched

filters in noise environment

CO2: Perform modeling with various parameter configurations can

be efficiently achieved.

CO3: Comprehend types of pulse compression techniques for

increasing range resolution.

CO4: Analyze statistical framework necessary for the development

of automatic target detection.

CO5: Comprehend different phase coding techniques for various

radars.


RANGE EQUATION & MATCHED FILTER:

Radar Block Diagram, Radar Equation, Information Available from

Radar Echo, Radar Range Performance– General Radar Range

Equation, Radar Detection with Noise Jamming, Beacon and Repeater

Equations, Bi-static Radar.

Matched filter Receiver – Impulse Response, Frequency Response

Characteristic and its Derivation, Matched Filter and Correlation

Function, Correlation Detection and Cross-Correlation Receiver.

Efficiency of Non-Matched Filters, Matched Filter for Non-White

Noise.


SIGNAL MODELS: Amplitude model, Radar cross section, Statistical description, clutter:

Noise model, Signal to Noise ratio, jamming. Frequency models:



Doppler shift, Spatial Models, Variation with angel cross range

multipath


SAMPLING AND QUANTIZATION OF PULSED RADAR

SIGNALS:

Domain criteria for sampling radar signals ,sampling in the fast time

dimension ,Sampling in slow time ,Sampling the Doppler spectrum,

spatial and angel dimension ,Quantization.

Radar Waveforms: Waveform Matched filter of moving targets

Ambiguity function, Pulse burst Waveforms. Frequency Modulated

pulse compression wave forms: Introduction, significance, Types.

Linear FM Pulse Compression – Block Diagram, Characteristics

reduction of Side lobes, Stretch Techniques. Generation and decoding

of FM Waveforms-block, schematic and characteristics of passive

system, digital compression.


DOPPLER PROCESSING:

Moving Target Indication: Pulse cancellers, matched filters for clutter

suppression, blind speeds Pulse Doppler processing: DFT of moving

targets, Sampling of DTFT, Fine Doppler estimation. Pulse pair

processing. Detection Fundamentals: Neynan - PearsonDetection

Rule, Threshold Detection of radar signals.


PHASE CODING TECHNIQUES:

Principles, Binary Phase Coding, Barker Codes, Maximal Length

Sequences (MLS/LRS/PN), Block Diagram of a Phase Coded CW

Radar. Linear FM and Frequency Coding Techniques: Principles,

Linear FM pulses, Generation and Decoding, Distortion effects on

LFM Signals, Discrete Frequencies, Waveform Analysis,

Capabilities, Resolution properties of Frequency Coded Pulses, Poly

Phase Codes: Frank Codes, Costas Codes, Non-Linear FM Pulse

Compression, Doppler Tolerant PC Waveforms – Short Pulse, Linear

Period Modulation (LPM/HFM). Side lobe Reduction for Phase

Coded PC Signals.



TEXT BOOKS:

1. Mark.A.Richards, “Fundamentals of Radar Signal Processing”,

TMH, 2005.

REFERENCES:

1. Fred E. Nathanson, “Radar Design Principles: Signal Processing

and the Environment”, 2nd ed., PHI, 1999.

2. Peyton Z. Peebles Jr, “Radar Principles”, John Wiley, 2004.

3. R. Nitzberg, “Radar Signal Processing and Adaptive Systems”,

Artech House, 1999.

4. F.E. Nathanson, “Radar Design Principles”, 1st ed., McGraw Hill,

1969.

5. M.I. Skolnik, “Introduction to Radar Systems”, 3rd ed., TMH,

2001.



SIGNAL DETECTION & ESTIMATION THEORY

(ELECTIVE –I)


3 0 3

Pre requisites: Linear algebra, Signals and systems, Probability and

Random Processes.

Course Outcomes:At the end of the course, student is able to

CO1: Acquire basics of statistical decision theory used for signal

detection and estimation.

CO2: Examine the detection of deterministic and random signals

using statistical models.

CO3: Comprehend the elements and structure of nonparametric

detection.

CO4: Examine the performance of signal parameters using optimal

estimators.

CO5: Analyze signal estimation in discrete-time domain using

filters.


REVIEW OF RANDOM VARIABLES: Review of Gaussian variables and processes; problem formulation

and objective of signal detection and signal parameter estimation in

discrete-time domain.

STATISTICAL DECISION THEORY:

Bayesian, minimax, and Neyman-Pearson decision rules, likelihood

ratio, receiver operating characteristics, composite hypothesis testing,

locally optimum tests, detector comparison techniques, asymptotic

relative efficiency.

UNIT – II (10-Lectures)

DETECTION OF DETERMINISTIC SIGNALS:

Matched filter detector and its performance; generalized matched

filter; detection of sinusoid with unknown amplitude, phase,

frequency and arrival time, linear model.



DETECTION OF RANDOM SIGNALS:

Estimator-correlator, linear model, general Gaussian detection,

detection of Gaussian random signal with unknown parameters, weak

signal detection.

UNIT – III (10-Lectures)

NONPARAMETRIC DETECTION:

Detection in the absence of complete statistical description of

observations, sign detector, Wilcoxon detector, detectors based on

quantized observations, robustness of detectors.

UNIT – IV (10-Lectures)

ESTIMATION OF SIGNAL PARAMETERS:

Minimum variance unbiased estimation, Fisher information matrix,

Cramer-Rao bound, Sufficient statistics, minimum statistics, complete

statistics; linear models; best linear unbiased estimation; maximum

likelihood estimation, invariance principle; estimation efficiency;

Bayesian Estimation: philosophy, nuisance parameters, risk functions,

minimum mean square error estimation, maximum a posteriori

estimation.

UNIT – V (10-Lectures)

SIGNAL ESTIMATION IN DISCRETE-TIME:

Linear Bayesian estimation, Weiner filtering, dynamical signal model,

discrete Kalman filtering.

TEXT BOOKS:

1. H. L. Van Trees, "Detection, Estimation and Modulation Theory:

Part I, II, and III”, John Wiley, NY, 1968.

2. H. V. Poor, "An Introduction to Signal Detection and Estimation",

Springer, 2/e, 1998.

REFERENCES:

1. M. Hays, “Statistical Digital Signal Processing and

Modelling”,John Willey and Sons, 1996.

2. Steven.M.Kay, “Fundamentals of Statistical Signal Processing:”

Volume I Estimation Theory, Prentice Hall, USA, 1998.



3. Steven.M.Kay, “Fundamentals of Statistical Signal Processing:”

Volume I Detection Theory, Prentice Hall, USA, 1998.

4. K.SamShanmugam, Arthur M Breiphol, “Random Signals:

Detection, Estimation and Data Analysis”, John Wiley & Sons,

1998.



ARRAY SIGNAL PROCESSING

(ELECTIVE – I)


3 0 3

Course Outcomes:At the end of the course, student is able to

CO1: Extrapolate the fundamentals of arrays, signal models in

various domains.

CO2: Distinguish the performance of various types of sensor arrays

like ULA‟s, Planar and Random arrays.

CO3: Predict the importance of spatial domain analysis under the

influence of adverse effects like Aliasing and white noise

signaling conditions.

CO4: Interpret the basics and types of beam forming techniques that

can be used to obtain effective beam patterns.

CO5: Outline various non-parametric methods and spatial

smoothing techniques to effectively solve the Direction of

arrival estimation problems.


SPATIAL SIGNALS:

Array fundamentals, Array signal Model, Signals in space and time,

spatial frequency, Direction vs. frequency, Wave fields, far field and

near field signals.


SENSOR ARRAYS:

Spatial sampling, Nyquist criterion, Sensor arrays, Uniform linear

arrays, Planar and random arrays, Array transfer (steering) vector,

Array steering vector for ULA, Performance analysis, Broadband

arrays.


SPATIAL FREQUENCY:

Aliasing in spatial frequency domain, Spatial Frequency Transform,

Spatial Domain Filtering, Beam forming, tapped Beam forming,

Eigen analysis of the optimum beam former, spatially white signal.




ADAPTIVE BEAM FORMING:

Sample matrix inversion, Diagonal loading with the SMI beam

former, Implementation of the SMI beam former, linearly constrained

Beam formers, Partially Adaptive arrays, Side lobe cancellers, angle

estimation, Beam splitting algorithms, Model based methods, Space-

time adaptive array processing.

UNIT V (10-Lectures)

DIRECTION OF ARRIVAL ESTIMATION:

Non parametric methods – Beam forming and Capon methods,

Resolution of Beam forming method, Subspace methods – MUSIC,

Minimum Norm and ESPRIT TECHNIQUES, Spatial Smoothing.

TEXT BOOKS:

1. Dan E. Dugeon and Don H. Johnson.,“Array Signal Processing:

Concepts and Techniques”, Prentice Hall, 1993.

2. D.G. Manolakis, V.K. Ingle, S.M. Kogon, “Statistical and Adaptive

Signal Processing”, 2000.

REFERENCE BOOKS:

1. Stoica, Petre, and Randolph L. Moses. “Spectral analysis of

signals”, Pearson/Prentice Hall, 2005.

2. Bass J, McPheeters C, Finnigan J, Rodriguez E., “Array Signal

Processing”, 2005.

3. http://cnx.org/content/col10255/latest/

http://cnx.org/content/col10255/latest/



MICROCONTROLLERS AND APPLICATIONS

(ELECTIVE – I)


3 0 3

Prerequisites:Switching theory and logic design, microprocessors

and interfacing.

Course Outcomes:

At the end of the course the student will be able to

CO1: Comprehend the architecture and instruction set of

microcontrollers.

CO2: Acquire knowledge on real time control interrupts & timers.

CO3: Able to interface control peripherals and high power devices.

CO4: Analyze real time operating system for MCUs & MCU based

industrial applications.

CO5: Comprehend the architecture of 16-bit (8096/80196) & ARM

microcontrollers.

UNIT- I (10-Lectures)

8051 FAMILY MICROCONTROLLERS INSTRUCTION SET:

Architecture of 8051microcontroller-internal and external memories,

Basic assembly language programming – Data transfer instructions –

Data and Bit manipulation instructions – Arithmetic instructions –

Instructions for Logical operations on the Bytes among the Registers,

Internal RAM, and SFRs – Program flow control instructions –

Interrupt control flow.

UNIT- II (10-Lectures)

REAL TIME CONTROL: INTERRUPTS:

Interrupt handling structure of an MCU – Interrupt Latency and

Interrupt deadline – Multiple sources of the interrupts – Non-

maskable interrupt sources – Enabling or Disabling of the sources –

Polling to determine the Interrupt source and assignment of the

priorities among them –Interrupt structure in Intel 8051.



REAL TIME CONTROL: TIMERS

Programmable Timers in the MCUs – Free running counter and real

time control – Interrupt interval and density constraints.

UNIT- III (10-Lectures)

SYSTEMS DESIGN:

Synchronous serial-cum-asynchronous serial communication – ADC

Circuit Interfacing – DAC Circuit Interfacing – stepper motor -

Digital and Analog Interfacing Methods, Switch, Keypad and

Keyboard interfacings – LED and Array of LEDs – LCD interface –

Programmable instruments interface using IEEE 488 Bus –

Interfacing with the Flash Memory – Interfaces –Interfacing to High

Power Devices – Analog input interfacing – Analog output

interfacing.

UNIT- IV (10-Lectures)

REAL TIME OPERATING SYSTEM FOR MICRO

CONTROLLERS:

Real Time operating system – RTOS of Keil (RTX51) – Use of

RTOS in Design – Software development tools for Microcontrollers.

MICROCONTROLLER BASED INDUSTRIAL

APPLICATIONS

Optical motor shaft encoders – Industrial control – Industrial process

control system – Prototype MCU based Measuring instruments


16/32 - Bit MICROCONTROLLERS: 8096/80196 Family: Hardware – Memory map in Intel 80196 family

MCU system – I/O ports – Programmable Timers and High-speed

outputs and input captures – Interrupts.

ARM 32 Bit MCUs: Introduction to 16/32 Bit processors – ARM

architecture and organization – ARM / Thumb programming model –

ARM / Thumb instruction set.



TEXT BOOKS:

1. Raj Kamal, “Microcontrollers Architecture, Programming,

Interfacing and System Design”, 2nd Edition, Pearson Education,

2005.

2. Mazidi and Mazidi, “The 8051 Microcontroller and Embedded

Systems”, 4th impression, PHI, 2000.

REFERENCE BOOKS:

1. Kenneth J. Ayala, “The 8051 Microcontroller”, 3rd

ed., Cengage

Learning, 2007.

2. A.V. Deshmukh, “Microcontrollers (Theory & Applications)”, 6th

Reprint, TMH, 2007.

3. John B. Peatman, “Design with PIC Microcontrollers”, 2nd

Edition,

Pearson Education, 2005.



VLSI TECHNOLOGY & DESIGN

(ELECTIVE – I)


3 0 3

Prerequisites:

Electronics Devices and Circuits, Switching Theory and Logic

Design.

Course Outcomes: Student will be able to

CO1: Distinguish different IC technologies and analyze basic

electrical propertiesof MOS, CMOS & Bi-CMOS circuits.

CO2: Draw layouts for logic gates.

CO3: Analyze the concepts of alternate gate circuits, interconnect

delays, Gate and Network testing.

CO4: Outline the concept of memory cells, clocking disciplines,

power optimization, design validation &testing.

CO5: Acquire knowledge of floor-plan methods, High level

synthesis, CAD systems and methodologies for chip design.


BASIC ELECTRICAL PROPERTIES OF MOS, CMOS &

BICMOS CIRCUITS:

Review of Microelectronics: (MOS, CMOS, Bi CMOS) Technology

trends and projections.Ids-Vds relationships, Threshold voltage Vt,

Gm, GdsandWo, Pass Transistor, MOS, CMOS &Bi-CMOS Inverters,

Zpu/Zpd, MOS Transistor circuit model, Latch-up in CMOS circuits.


LAYOUT DESIGN AND TOOLS:

Transistor structures, Wires and Vias, Scalable Design rules, Layout

Diagrams for NMOS and CMOS Inverters and Gates, Layout Design

tools.




LOGIC GATES &COMBINATIONAL LOGIC NETWORKS:

Static complementary gates, switch logic, Alternative gate circuits,

low power gates, Resistive and Inductive interconnect delays.

Layouts, Simulation, Network delay, interconnect design, power

optimization, Switch logic networks, Gate and Network testing.


SEQUENTIAL SYSTEMS:

Memory cells and Arrays, clocking disciplines, Design, power

optimization, Design validation and testing.


FLOOR PLANNING &CHIP DESIGN:

Floor planning methods, off-chip connections, High-level synthesis,

Architecture for low power, SOCs and Embedded CPUs, Architecture

testing. Introduction to CAD systems (algorithms) and chip design -

Layout Synthesis and Analysis, Scheduling and binding,

Hardware/Software Co-design, chip design methodologies- A simple

Design example.

TEXTBOOKS:

1. Kamran Eshraghian, Eshraghian Dougles and A.Pucknell,

“Essentials of VLSI circuits and systems”, 3rd

Edition, PHI, 2005.

2. Wayne Wolf, “Modern VLSI Design”, Pearson Education, 3rd

Edition, 2008.

REFERENCES:

1. Weste and Eshraghian, “Principles of CMOS VLSI Design”,

Pearson Education, 3rd Edition, 1999.

2. Fabricius, “Introduction to VLSI Design”, MGH International

Edition, 1990.

3. Baker and Li Boyce, “CMOS Circuit Design, Layout and

Simulation”, PHI, 2004.



ADVANCED TECHNICAL COMMUNICATON SKILLS

Course Code: 15HE2101 L P C

0 3 2

COURSEOUTCOMES:

CO1: Use language fluently, accurately and appropriately in group

discussions and debates

CO2: Comprehending listening to communicate effectively in cross-

cultural contexts.

CO3: Write project proposals, reports, dissertations

CO4: Demonstrate interview skills learnt.

CO5: Demonstrate soft skills learnt.

SYLLABUS:

1. Group Discussion

2. Debate

3. Technical presentation

4. Situational dialogues for Negotiation and conflict resolution

5. Interview Skills

6. Report Writing

7. Project Proposal

8. Detailed project Report

9. Research Article writing

10. Dissertation

11. Telephonic communication

REFERENCES:

Sharon Gerson, Steven Gerson, Technical Communication: Process

and Product Paperback Longman edition, 2013.

Simon Sweeny, “English for Business Communication”, CUP,

FirstSouthAsianEdition,2010.

Stella Cottrel, Dissertations and Project Reports: A Step by Step

Guide, Palgrave Macmillan Paperback, 2014.

James D. Lester, James D. Lester Jr.Writing Research Papers: A

http://www.amazon.com/s/ref=dp_byline_sr_book_1?ie=UTF8&field-author=James+D.+Lester+%28Deceased%29&search-alias=books&text=James+D.+Lester+%28Deceased%29&sort=relevancerank

http://www.amazon.com/s/ref=dp_byline_sr_book_2?ie=UTF8&field-author=James+D.+Lester+Jr.&search-alias=books&text=James+D.+Lester+Jr.&sort=relevancerank



Complete Guide ,Longman,15th Edition, 2014.

M.AshrafRizvi, “Effective Technical Communication”, Tata

McGraw-Hill Publishing Company Ltd. 2005.

MeenakshiRaman &SangeetaSharma, “Technical

Communication”,OxfordUniversityPress,2012.



DIGITAL SIGNAL PROCESSING LAB


0 3 2

Pre requisites: Digital Signal Processing Theory, C and MATLAB

Programming.

Course Outcomes:

CO1: Develop and Implement DSP algorithms in software using a

computer language such as C with TMS320C6713 floating

point Processor.

CO2: Develop various DSP Algorithms using MATLAB Software

package.

CO3: Analyze and Observe Magnitude and phase characteristics

(Frequency response Characteristics)of digital IIR-

Butterworth, Chebyshev filters.

CO4: Analyze and Observe Magnitude and phase characteristics

(Frequency response Characteristics) of digital FIR filters

using window techniques.

CO5: Design and Analyze Digital Filters using FDA Tool.

LIST OF EXPERIMENTS:

1. Linear convolution between two sequences.

2. Circular convolution between two sequences.

3. Linear convolution using circular convolution.

4. Program to perform N-point DFT. Also to perform the IDFT on the

result obtained to verify the result.

5. To perform circular correlation using

a)Direct method b) circular convolution using rotation method.

6. To perform circular convolution and correlation using DFT.

7. To perform linear convolution using (a) overlap save method

(b) overlap add method.

8. To perform FFT on a sequence using the following methods.

(a) Decimation in time (b) Decimation in frequency.

9. To perform IDFT on a transformed sequence using DFT.

10. Design an FIR filter using windowing techniques.



11. Design an IIR filter using impulse invariant method.

12. Design an IIR filter using bilinear transformation method.

13. Program to compute power density spectrum of a sequence.

14. Filter Design and Analysis using FDA Tool.

Note: Any TEN of the above experiments are to be conducted.

Syllabi for

II-Semester



INFORMATION THEORY AND CODING


3 0 3

Pre requisites: Probability Theory, Digital Communications

Course outcomes: After completion of the course, the student is able

to

CO1: Design the channel performance using Information theory.

CO2: Comprehend various error control code properties.

CO3: Apply linear block codes for error detection and correction.

CO4: Apply convolution codes for performance analysis & cyclic

codes for error detection and correction.

CO5: Design BCH & RS codes for Channel performance

improvement against burst errors.


INFORMATION THEORY:

Entropy, Information rate, source coding: Shannon-Fano and

Huffman coding techniques, Mutual Information, Channel capacity of

Discrete Channel, Shannon- Hartley law, Trade-off between

bandwidth and SNR.


ERROR CONTROL CODES:

Examples of the use of error control codes, basic notions, coding gain,

Characterization of Error control codes performance of error control

codes, comparison of uncoded and coded systems.


LINEAR BLOCK CODES:

Linear block codes and their properties, standard arrays, syndromes,

weight distribution. Error detection/correction properties, modified

linear block codes.




CONVOLUTION CODES:

Convolution encoders, structural properties of convolution codes,

trellis diagrams, Viterbi algorithm, performance analysis.

CYCLIC CODES:

General theory, Shift Register Implementations, Shortened Cyclic

codes, CRCs for Error Detection.


BCH AND RS CODES:

Algebraic Description, Frequency Domain Description, Decoding

Algorithms for BCH and RS Codes.

TEXT BOOKS:

1. Stephen B.Wicker, “Error Control Systems for Digital

Communication and storage”, Prentice Hall, 1995.

2. Kennedy, “Electronic Communication systems”, McGraw Hill, 4th

Ed., 1999.

REFERENCE BOOKS:

1. John Proakis, “Digital Communications”, TMH, 5th Ed., 2008.

2. Simon Haykin, “Communication System”,Wiley,2008.



IMAGE AND VIDEO PROCESSING


3 0 3

Prerequisites:

Signals and Systems, Digital Signal Processing.

Course Outcomes:Upon completion of the course, the student will be

able to

CO1: Comprehend the image processing fundamentals and

enhancement techniques in spatial and frequency domain.

CO2: Describe the color image fundamentals, models and various

restoration techniques.

CO3: Design and Analyze the image compression systems.

CO4: Outline the various image segmentation and morphology

operations.

CO5: Comprehend the basics of video processing and video coding.


INTRODUCTION AND IMAGE ENHANCEMENT:

Digital image fundamentals, Concept of pixels and gray levels,

Applications of image processing, Introduction to image

enhancement, spatial domain methods: point processing - intensity

transformations, histogram processing, image averaging, image

subtraction, Spatial filtering- smoothing filters, sharpening filters,

Frequency domain methods: low pass filtering, high pass filtering,

Homomorphic filtering.


IMAGE RESTORATION:

Introduction to Image restoration, Degradation model, Restoration in

the presence of Noise only-Spatial Filtering, Periodic Noise reduction

by Frequency domain Filtering, Algebraic approaches- Inverse

filtering, Wiener filtering, Constrained Least squares restoration.



COLOR IMAGE PROCESSING:

Introduction, Fundamentals of Color image processing: Color models

- RGB, CMY, YIQ, HSI, Pseudo color image processing - intensity

slicing, gray level to color transformation, Basics of Full Color image

processing.


IMAGE COMPRESSION:

Introduction, Need for image compression, Redundancy in images,

Classification of redundancy in images, image compression scheme,

Classification of image compression schemes, Huffman coding,

Arithmetic coding, Predictive coding, Transformed based

compression, Image compression standards, Wavelet-based image

compression.


IMAGE SEGMENTATION:

Introduction to image segmentation, Detection of discontinuities -

point, line and edge and combined detection; Edge linking and

boundary description - local and global processing using Hough

transform, Thresholding, Region oriented segmentation - basic

formulation, region growing by pixel aggregation, region splitting and

merging.

IMAGE MORPHOLOGY:

Introduction to Morphology, Dilation and Erosion, Opening and

Closing, Hit-or-Miss Transformation, Some Basic Morphological

Algorithms.


DIGITAL VIDEO & CODING:

Basics of Video, Time-varying Image formation Models, Spatio-

Temporal Sampling, Optical flow, General methodologies, Overview

of coding systems, Video Compression Standards.

TEXT BOOKS:

1. R.Gonzalez, R.E.Woods, “Digital Image Processing”, 3rd

Edition,

Pearson Education, India, 2009.



2. M. Tekalp, “Digital Video Processing”, Prentice-Hall, 1995.

REFERENCES:

1. Rafael C. Gonzalez, Richard E Woods and Steven L. Eddins,

“Digital Image Processing using MAT LAB” , Pearson Edu., 2004.

2. Bovik, “Handbook of Image & Video Processing”, Academic

Press, 2000

3. Yao Wang, JornOstermann and Ya Qin Zhang, “Video Processing

and Communications”, Prentice Hall Publishers, 2002.



ADVANCED MOBILE COMMUNICATIONS


3 0 3

Course outcomes:After completion of the course, the student is able

to

CO1: Comprehend the characterization of Fading Channels.

CO2: Model cellular mobile communication system.

CO3: Analyze the performances of CDMA and OFDM.

CO4: Configure MIMO scheme for channel performance

improvement.

CO5: Analyze the Error performance of Ultra Wide Band systems

and applications to 4G Wireless standards.


WIRELESS COMMUNICATIONS AND DIVERSITY:

Fast Fading Wireless Channel Modeling, Rayleigh/RicIan Fading

Channels, BER Performance in Fading Channels, Diversity modeling

for Wireless Communications, BER Performance Improvement with

diversity, Types of Diversity – Frequency, Time, Space

BROADBAND WIRELESS CHANNEL MODELING:

WSSUS Channel Modeling, RMS Delay Spread, Doppler Fading,

Jakes Model, Autocorrelation, Jakes Spectrum, Impact of Doppler

Fading.


CELLULAR COMMUNICATIONS

Introduction to Cellular Communications, Frequency reuse, Multiple

Access Technologies, Cellular Processes‐ Call Setup, Handover etc.,

TeletrafficTheory.


CDMA

Introduction to CDMA, Walsh codes, Variable tree OVSF, PN

Sequences, Multipath diversity, RAKE Receiver, CDMA Receiver

Synchronization.



OFDM

Introduction to OFDM, Multicarrier Modulation and Cyclic Prefix,

Channel model and SNR performance, OFDM Issues –

PAPRFrequency and Timing Offset Issues.


MIMO

Introduction to MIMO, MIMO Channel Capacity, SVD and Eigen

modes of the MIMO Channel, MIMO Spatial Multiplexing – BLAST,

MIMO Diversity – Alamouti, OSTBC, MRT, MIMO ‐ OFDM.


UWB (ULTRAWIDE BAND)

UWB Definition and Features, UWB Wireless Channels, UWB Data

Modulation, Uniform Pulse Train, Bit‐Error Rate Performance of

UWB

3G AND 4G WIRELESS STANDARDS

GSM, GPRS, WCDMA, LTE, WiMAX.

TEXT BOOKS:

1. Theodore Rappaport, “Wireless Communications: Principles and

Practice”, Prentice Hall, 2009.

2. EzioBiglieri, “MIMO Wireless Communications” Cambridge

University Press, 2007

REFERENCES:

1. David Tse and PramodViswanath, “Fundamentals of Wireless

Communications”, Publisher ‐ Cambridge University Press, 2005.

2. Andrea Goldsmith, “Wireless Communications” Cambridge

University Press, 2004.

3. ArogyaswamiPaulraj, “Introduction to Space‐Time Wireless

Communications”, Cambridge University Press, 2003.

4. John G Proakis, “Digital Communications” McGraw Hill, 5th

Edition, 2008.



ADAPTIVE SIGNAL PROCESSING


3 0 3

Pre requisites:Digital Signal Processing

Course Outcomes:

After completion of the course, the student is able to

CO1: Comprehend design criteria and modelling adaptive systems

and theoretical performance evaluation.

CO2: Design a linear adaptive processor.

CO3: Apply mathematical models for error performance and

stability.

CO4: Apply adaptive modeling systems for real time applications.

CO5: Design based on Kalman filtering and extended Kaman

filtering.

UNIT – I (10-Lectures)

ADAPTIVE SYSTEMS:

Characteristics, Areas of application, general properties, open and

closed loop adaptation, applications of closed loop adaptation,

Example of an Adaptive System, The Adaptive Linear Combiner:

Description, Weight Vectors, Desired Response, Performance

Function; Gradient and Minimum Mean-Square Error.

Approaches to the Development of Adaptive Filter Theory:

Introduction to Filtering Smoothing and Prediction-Linear Optimum

Filtering, Problem Statement, Principle of Orthogonality, Minimum–

Mean-Squared Error, Wiener –Hopf Equations, Error Performance,

Normal Equation.

UNIT – II (10-Lectures)

GRADIENT SEARCHING AND ESTIMATION:

Searching the Performance Surface – Methods and Ideas of Gradient

Search Methods, Gradient Searching Algorithm and its Solution,

Stability and Rate of Convergence, Learning Curves, Gradient Search



by Newton‟s Method, Method of Steepest Descent, Comparison of

Learning Curves.

Gradient component estimation by derivative measurement, the

performance penalty, derivative measurement and performance

penalties with multiple weights, variance of the gradient estimate,

effects on the weight vector solution.


LMS & RLS ALGORITHMS:

Overview, LMS Adaptation Algorithms, Stability and Performance

Analysis of LMS Algorithms, LMS Gradient and Stochastic

Algorithms, Convergence of LMS Algorithms, RLS algorithms.


ADAPTIVE MODELING AND SYSTEM IDENTIFICATION:

General description, adaptive modeling of multipath communication

channel, adaptive modeling in geophysical exploration, adaptive

modeling in FIR digital filter synthesis, general description of inverse

modeling, some theoretical examples.


KALMAN FILTERING THEORY: Introduction, Recursive Mean Square Estimation for Scalar Random

Variables, Statement of Kalman Filtering Problem, Innovation

Process. Estimation of State using the Innovation Process, Filtering,

Initial Conditions, Summary of Kalman Filters, Variants of the

Kalman Filtering, the Extend Kalman Filtering, Identification as a

Kalman Filtering Problem.

TEXT BOOKS:

1. Bernand Widrow, Samuel D. Stearns, “Adaptive Signal

Processing”, Pearson Education, Asia, 2009.

2. Simon Haykins, “Adaptive filter Theory”, PHI, 2003.

REFERENCES BOOKS:

1. Sophocles J. Orfamidis, “Optimum Signal Processing – An

Introduction”, 2/e, McGraw Hill, 1990.



2. Alexander, Thomas S. “Adaptive signal processing: theory and

applications”, Springer Science & Business Media, 2012.

3. TulayAdali, Simon Haykin, “Adaptive Signal Processing – Next

Generation Solutions”, Wiley Publications, 2012.



DSP PROCESSORS & ARCHITECTURE


3 0 3

Pre requisites:Signals and systems, convolution methods, digital

signal processing concepts.

Course Outcomes:

At the end of the course the student will be able to

CO1: Comprehend the concepts of Digital signal processing

techniques.

CO2: Design DSP computational building blocks to achieve high

speed in DSP processor.

CO3: Comprehend DSP TMS320C54XX architecture and

instructions

CO4: Implementation of basic DSP algorithms using DSP processor.

CO5: Interface memory, I/O peripherals and Serial communication

Devices to DSP processors.


INTRODUCTION:

Introduction, Digital signal-processing system, sampling process,

discrete time sequences. Discrete Fourier Transform (DFT) and Fast

Fourier Transform (FFT), Linear time-invariant systems, Digital

filters, Decimation and interpolation,Number formats for signals and

coefficients in DSP systems, Dynamic Range and Precision, Sources

of error in DSP implementations, A/D Conversion errors, DSP

Computational errors, D/A Conversion Errors.


ARCHITECTURES FOR PROGRAMMABLE DSP DEVICES:

Basic Architectural features, DSP Computational Building Blocks,

Bus Architecture and Memory, Data Addressing Capabilities, Address

Generation Unit, Programmability and Program Execution, Speed

Issues, Hardware looping, Interrupts, Stacks, Relative Branch support,



Pipelining and Performance, Pipeline Depth, Interlocking, Branching

effects, Interrupt effects, Pipeline Programming models.


PROGRAMMABLE DIGITAL SIGNAL PROCESSORS:

Commercial Digital signal-processing Devices, Data Addressing

modes of TMS320C54XX DSPs, Data Addressing modes of

TMS320C54XX Processors, Memory space of TMS320C54XX

Processors, Program Control, TMS320C54XX instructions and

Programming, On-Chip Peripherals, Interrupts of TMS320C54XX

processors, Pipeline Operation of TMS320C54XX Processors.


IMPLEMENTATIONS OF BASIC DSP ALGORITHMS:

The Q-notation, FIR Filters, IIR Filters, Interpolation Filters,

Decimation Filters, PID Controller, Adaptive Filters, An FFT

Algorithm for DFT Computation, A Butterfly Computation, Overflow

and scaling, Bit-Reversed index generation, An 8-Point FFT

implementation on the TMS320C54XX, Computation of the signal

spectrum.


INTERFACING MEMORY AND I/O PERIPHERALS TO

PROGRAMMABLE DSP DEVICES:

Memory space organization, External bus interfacing signals,

Memory interface, Parallel I/O interface, Programmed I/O, Interrupts

and I/O, Direct memory access (DMA).

A Multichannel buffered serial port (McBSP), McBSP Programming,

a CODEC interface circuit, CODEC programming, A CODEC-DSP

interface example.

TEXT BOOKS:

1. Avtar Singh and S. Srinivasan, “Digital Signal Processing”

Thomson Publications, 2004.

2. Lapsley et al., “DSP Processor Fundamentals, Architectures &

Features”, S. Chand & Co, 2000.



REFERENCES

1. B. VenkataRamani and M. Bhaskar, “Digital Signal Processors,

Architecture, Programming and Applications” TMH, 2004.

2. Jonatham Stein, “Digital Signal Processing”, John Wiley, 2000.



STATISTICAL SIGNAL PROCESSING

(ELECTIVE-II)


3 0 3

Pre requisites:Digital Signal Processing,Probability Theory and

Stochastic Process

Course Outcomes:

CO1: Generalize the properties of statistical models in the analysis

of signals using stochastic processes.

CO2: Differentiate the prominence of various spectral estimation

techniques for achieving higher resolution in the estimation of

power spectral density.

CO3: Outline various parametric estimation methods to accomplish

the signal modeling even at higher order statistics.

CO4: Design and development of optimum filters using classical

and adaptive algorithms.

CO5: Extrapolate the importance of least squares techniques and

decomposition methods in analyzingthe signal estimations.


SIGNAL MODELS AND CHARACTERIZATION: Types and properties of statistical models for signals and how they

relate to signal processing, common second-order methods of

characterizing signals.

STOCHASTIC PROCESSES:

Wide sense stationary processes, orthogonal increment processes,

Wiener process, and the Poisson process, Doob decomposition, KL

expansion. Ergodicity, Mean square continuity, mean square

derivative and mean square integral of stochastic processes.


SPECTRAL ESTIMATION:

Moving average (MA), autoregressive (AR), autoregressive moving

average (ARMA), various non-parametric approaches, non-parametric

methods for estimation of power spectral density, autocorrelation,



cross-correlation, transfer functions, and coherence from finite signal

samples.


PARAMETRIC SIGNAL MODELING AND ESTIMATION:

A review on random processes, A review on filtering random

processes, Examples, Maximum likelihood estimation, maximum a

posterior estimation, Cramer-Rao bound Pisarenko, MUSIC, ESPRIT,

Higher order statistics.


OPTIMUM LINEAR FILTERS: Linear Mean square error estimation, optimum IIR filters, optimum

IIR filters, Inverse filtering and deconvolution, order recursive

algorithms for optimum FIR filters, Algorithms of Levinsion,

Levinsion-Durbin and Schiir, Triangularization and inversion of

Toeplitz matrices, Wiener filtering and Kalman filtering.


LEAST SQUARES ESTIMATION:

Least –squares error estimation, Least –squares Signal estimation, LS

computation using the Normal equations, least-squares computation

using orthogonalization Techniques and singular value

decomposition.

TEXT BOOKS:

1. D.G. Manolakis, V.K. Ingle, S.M. Kogon, “Statistical and Adaptive

Signal Processing”, 2000.

2. Monsoon H.Hayes, “Statistical Digital Signal Processing and

Modeling”, New York, USA: Wiley, 1996.

REFERENCE BOOKS:

1. Papoulis, probability, “Random variables and Stochastic

Processes”, 2nd Ed., McGraw Hill, 1983.

2. Steven M. Kay, “Fundamentals of Statistical Signal Processing:

Estimation theory”, Upper: Prentice-Hall, 1993.

3. J.G. Proakis, C.M. Rader, F. Ling, C.L. Nikias, M.Moonen, I.K.

Proudler, “Algorithms for Statistical Signal Processing”, 2002.



RF CIRCUIT DESIGN

(ELECTIVE-II)


3 0 3

Pre requisites:Electronics circuit design, Analog communications.

Course Outcomes:

CO1: Comprehend Different RF Components such as Passive

components, Microstrip Transmission Line.

CO2: Elucidate Design of RF Amplifiers-High gain, Low gain

Minimum Noise Amplifiers.

CO3: Design of RF Oscillators.

CO4: Design of RF Converters, Mixers.

CO5: Design of Matching networks for RF Circuits.


INTRODUCTION:

Reasons for using RFApplications, RF Spectrum, Microwave bands –

RF behavior of Passive components: Tuned resonant circuits, Vectors,

Inductors and Capacitors - Voltage and Current in capacitor circuits –

Tuned RF / IF Transformers. Micro Strip Transmission Lines-

Special Termination Conditions- sourced and Loaded Transmission

Lines.


RF/MICROWAVE AMPLIFIERS: Types of amplifiers-small signal amplifier design-design of different

types of amplifiers-narrow band, high gain, maximum gain, low noise

broad band amplifier design-Multistage small signal amplifier design,

Minimum Noise Multistage amplifier design, Large signal design,

High power amplifiers, Microwave power combining/dividing

techniques, signal distortion due to intermodulation products,

Multistage amplifiers large signal amplifiers design.




RF OSCILLATORS: RF/Microwave oscillator design-Oscillator verses amplifier design-

oscillations conditions, design of transistor oscillators, fixed

frequency, Frequency tunable oscillators.


RF CONVERTERS AND MIXERS:

Rectifier design- detector design Formulation, Properties of S

Parameters, Smith charts, applications on distributed circuit

applications, lumped element circuit applications.

Mixer design- UP conversion, down conversion, Conversion loss for

SSB Mixers, SSB verses DSB Mixers conversion loss, one diode

mixers, two diode mixer.


RF MATCHING NETWORKS:

Design of matching networks using lumped elements, design rules for

matching networks, Using distributed elements- using single stub

matching Short or Open circuited stubs.

TEXT BOOKS:

1. Matthew M Radmanesh, “Radio Frequency and Microwave

electronics”, Pearson Education Asia,2001

2. Reinhold Ludwing, PavelBretchko, “RF circuit design: Theory and

applications”, Pearson Education Asia Publication, New Delhi

2001.

REFERENCES:

1. Carr, Joseph. “Secrets of RF circuit design.” McGraw-Hill, Inc.,

2000.

2. Sayre, Cotter W. “Complete wireless design”. 2/e, McGraw-Hill

Professional, 2001.

3. Less Besser and Rowan Gilmore, “Practical RF Circuit Design for

Modem Wireless Systems”, Artech House Publishers, 2003.



NEURAL NETWORKS AND FUZZY LOGIC CONTROL

(ELECTIVE-II)


3 0 3

Pre requisites:Set Theory

Course Outcomes:Upon completion of the course, the student will be

able to

CO1: Comprehend the concepts of feed forward neural networks

CO2: Analyze the various feedback networks.

CO3: Understand the concept of fuzziness involved in various

systems and fuzzy set theory.

CO4: Comprehend the fuzzy logic control and adaptive fuzzy logic

and to design the fuzzy control using genetic algorithm.

CO5: Analyze the application of fuzzy logic control to real time

systems.


ARCHITECTURES:

Introduction –Biological neuron-Artificial neuron-Neuron modeling-

Learning rules-Single layer-Multi layer feed forward network-Back

propagation-Learning factors.


NEURAL NETWORKS FOR CONTROL:

Feedback networks-Discrete time hop field networks-Schemes of

neuro –control, identification and control of dynamical systems-case

studies (Inverted Pendulum, Articulation Control).


FUZZY SYSTEMS:

Classical sets-Fuzzy sets-Fuzzy relations - Fuzzification -

Defuzzification- Fuzzy rules.




FUZZY LOGIC CONTROL:

Membership function – Knowledge base-Decision –making logic –

Optimizations of membership function using neural networks-

Adaptive fuzzy systems-Introduction to generate to genetic algorithm.


APPLICATION OF FLC:

Fuzzy logic control-Inverted pendulum-Image processing-Home

Heating system-Blood pressure during anesthesia-Introduction to

neuro fuzzy controller.

TEXT BOOKS:

1. Kosko, B, “Neural Networks and Fuzzy Systems: A Dynamical

Approach to Machine Intelligence”, PrenticeHall, NewDelhi, 2004.

2. Timothy J Ross, “Fuzzy Logic with Engineering Applications”,

John Willey and Sons, West Sussex, England, 2005.

REFERENCE BOOKS:

1. Jack M. Zurada, “Introduction to Artificial Neural Systems”, PWS

Publishing Co., Boston, 2002.

2. Klir G.J. &Folger T.A., “Fuzzy sets, Uncertainty and Information”,

Prentice –Hall of India Pvt. Ltd., New Delhi, 2008.

3. Zimmerman H.J., “Fuzzy set theory and its Applications”, Kluwer

Academic Publishers Dordrecht, 2001.

4. Driankov,Hellendroonb, “Introduction to fuzzy control”, Narosa

Publishers,2001

5. LauranceFausett, Englewood cliffs, N.J., “Fundamentals of Neural

Networks”, PearsonEducation, New Delhi, 2008.



ADHOC NETWORKS

(ELECTIVE-II)


3 0 3

Pre requisites: Data communications, Computer networks, Digital

communications.

Course outcomes: Upon completion of the course the student will be

able to

CO1: Describe the unique issues in ad-hoc/sensor networks.

CO2: Describe current technology trends for the implementation and

deployment of wireless ad-hoc/sensor networks.

CO3: Discuss the challenges in designing MAC, routing and

transport protocols for wireless ad-hoc/sensor networks.

CO4: Discuss the challenges in designing routing and transport

protocols for wireless Ad-hoc/sensor networks.

CO5: Comprehend the various sensor network Platforms, tools and

applications.


INTRODUCTION: Introduction of ad-hoc/sensor networks, Key definitions of ad-

hoc/sensor networks - Advantages of ad-hoc/sensor networks -

Unique constraints and challenges Driving Applications.

Electromagnetic spectrum-Radio propagation mechanism-

characteristics of the wireless channel Adhoc Wireless Networks –

Heterogeneity in Mobile Devices – Wireless Sensor Networks –

Traffic Profiles – Types of Adhoc Mobile Communications – Types

of Mobile Host Movements – Challenges Facing Adhoc Mobile

Networks – Adhoc Wireless Internet.


END TO END DELIVERY AND SECURITY:

Transport layer: Issues in designing- Transport layer classification,

adhoctransportProtocols, Security issues in adhoc networks: issues



and challenges, network securityattacks, secure routing protocols Ad-

Hoc wireless networks Introductions to local area networks, wide area

networks, MAN, PAN architectures and applications.


MEDIA ACCESS CONTROL (MAC) PROTOCOLS: Media Access Control (MAC) Protocols Introduction- Issues in

Designing a MAC Protocol for Ad Hoc Wireless Networks –

Classifications of MAC Protocol. MACAW – FAMA – BTMA –

DPRMA – Real-Time MAC protocol – Multichannel Protocols –

Power Aware MAC.

UNIT IV (10-

Lectures)ROUTING PROTOCOLS:

Issues in Designing a Routing Protocol for Ad Hoc Wireless

Networks – Classifications of Routing Protocols -Table-driven

protocols – DSDV – WRP – CGSR – On-Demand protocols – DSR –

AODV – TORA – LAR – ABR – Zone Routing Protocol – Power

Aware Routing protocols.


NETWORKING SENSORS AND APPLICATIONS:

Unique features, Deployment of ad-hoc/sensor network -Sensor

tasking and control Transport layer and security protocols,

SENSOR NETWORK PLATFORMS AND TOOLS:

Berkley Motes - Sensor network programming challenges -

Embedded Operating System – Simulators,

Applications:

Applications of Ad-Hoc/Sensor Network and Future Directions.Ultra

wide band radio communication- Wireless fidelity systems.

TEXT BOOKS:

1. Karl, Holger, and Andreas Willig. “Protocols and architectures for

wireless sensor networks.” John Wiley & Sons, 2007.

2. C. Siva Ram Murthy and B. S. Manoj, “Ad Hoc Wireless

Networks: Architectures and Protocols”, Prentice Hall, 2004.



REFERENCE BOOKS:

1. Feng Zhao and Leonidas J. Guibas, “Wireless Sensor Networks: An

Information Processing Approach” Morgan Kaufmann, 2004.

2. Stefano Basagni, Marco Conti, Silvia Giordano and Ivan

stojmenovic, “Mobile ad hoc Networking”, Wiley-IEEE press,

2004.

3. Mohammad Ilyas, “The handbook of adhoc wireless networks”,

CRC press, 2002.



ADVANCED COMMUNICATION LABORATORY


0 3 2

Pre requisites: Communication Theory

Course Outcomes:

After completion of the course, the student will be able to

CO1: Design Encoder and Decoder for single bit error correction.

CO2: Simulate and Analyze Digital Signals.

CO3: Generate and Detect Passband modulated signals with Error

controlling codes.

CO4: Analyze Performance of M-ary Digital modulation

Techniques.

CO5: Verify the error performance of Gaussian, Rician, and

Rayleigh channels.

List of Experiments

1. Generation of Pulse Modulated signals: PAM, PWM and PPM

2. Time division Multiplexing

3. Generation of (7, 4) Hamming code and Error detection in

different channels.

4. Generation and detection of ASK, FSK and PSK signals

5. Generation and detection of DPSK Signals

6. Generation and detection of QPSK Signals

7. Generation and detection of QAM signals

8. Generation and detection of M-aryASK, FSK and PSK signals

9. Generation and detection of MSK signal

10. Experimentally compare different forms of BPSK and QPSK and

analyze their spectrum with spectrum analyzer.

11. Generation and Detection of ASK, FSK and PSK with (7, 4)

hamming code

12. Generation of turbo code.

13. Obtain Gaussian, Rician PDF and CDF with PSK modulation.

14. Obtain Rayleigh PDF and CDF with PSK modulation.

Note: Any TEN of the above experiments are to be conducted.

M. Tech. Communication Engineering and Signal Processing

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