Sathya Bama

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SATHYABAMA UNIVERSITY FACULTY OF ELECTRICAL AND ELECTRONICS

M.E. / M. Tech PART TIME x REGULATIONS 2015

PROGRAMME : M.E - P RT TIME

PPLIED ELECTRONICS

CURRICULUM

SEMESTER 1

Sl. No. COURSE CODE COURSE TITLE L T P C PAGE No.

THEORY

1. SEC5101 Transforms and Random Process for Electronics Engineering 4 0 0 4 2

2. SEC5103 Advanced Digital System Design 4 0 0 4 4

3. SEC5109 CMOS Circuits Design 4 0 0 4 10

PRACTICAL

1. SEC6530 Circuits Design Lab 0 0 6 3 67

TOTAL CREDITS 15

SEMESTER 2


THEORY

1. SEC5113 Advanced Analog Integrated Circuits 4 0 0 4 14

2. SEC5116 Microcontrollers for Embedded System Design 4 0 0 4 17

3. SEC5137 Advanced RF System Design 4 0 0 4 38

TOTAL CREDITS 12

SEMESTER 3


THEORY

1. SEC5105 Advanced Digital Signal Processing 4 0 0 4 6

2. Elective – 1 4 0 0 4

3. Elective – 2 4 0 0 4

PRACTICAL

1. SEC6531 Matlab Programming Lab 0 0 6 3 67

TOTAL CREDITS 15

L - LECTURE HOURS T – TUTORIAL HOURS P – PRACTICAL HOURS C – CREDITS




M E / M Tech PART TIME xi REGULATIONS 2015

SEMESTER 4

Sl No COURSE CODE COURSE TITLE L T P C PAGE No

THEORY

1. SEC5107 Advanced Digital Image Processing 4 0 0 4 8

2. Elective – 3 4 0 0 43. Elective – 4 4 0 0 4

TOTAL CREDITS 12

SEMESTER 5


THEORY

1. SEC5201 RF MEMS and Its Applications 4 0 0 4 39

2. Elective – 5 4 0 0 4

3. Elective – 6 4 0 0 4

PRACTICAL

1. SEC6541 Lab VIEW Programming Lab 0 0 6 3 70

TOTAL CREDITS 15

SEMESTER 6


THEORY

1. S35PROJ Project Viva voce 0 0 40 20

TOTAL CREDITS 20

TOTAL CREDITS FOR THE PROGRAM 89

ELECTIVE COURSES


1. SEC5119 Real Time Operating Systems 4 0 0 4 20

2. SEC5130 Advanced Wireless Communications 4 0 0 4 31

3. SEC5207 Algorithm and Architecture for Signal Processing ICs 4 0 0 4 45

4. SEC5601 Advanced Cryptography 4 0 0 4 74

5. SEC5602 Applied Cryptography and Data Security 4 0 0 4 75

6. SEC5603 Distributed Processing & Networking 4 0 0 4 76

7. SEC5604 High Performance Networks 4 0 0 4 77

8. SEC5605 Wireless Sensor Networks 4 0 0 4 78




M E / M Tech PART TIME xii REGULATIONS 2015

9. SEC5606 Intelligent Computing Techniques 4 0 0 4 79

10. SEC5607 Software Tools for Technical Computing 4 0 0 4 80

11. SEC5615 Multidimensional Image Processing 4 0 0 4 88

12. SEC5620 Real Time Embedded System Design 4 0 0 4 93

13. SEC5625 Low Power VLSI Design 4 0 0 4 98

14. SEC5629 ASIC Design 4 0 0 4 102

15. SEC5632 Electromagnetic Interference & Compatibility 4 0 0 4 105

16. SEC5633 Embedded Control Systems 4 0 0 4 106

17. SEC5666 Modelling & Simulation of Communication Network 4 0 0 4 139

18. SEC5667 Time Frequency Analysis 4 0 0 4 140

19. SIC5603 Advanced Digital Control System 4 0 0 4 169

20. SIC5608 Advanced Robotics & Automation 4 0 0 4 174




M.E. / M. Tech PART TIME 2 REGU LATIONS 2015

SEC5101

TRANSFORMS AND RANDOM PROCESS

FOR ELECTRONICS ENGINEERING

(For AE, EMB & VLSI)

L T P Credits Total Ma rks

4 0 0 4 100

COURS E OBJECTIVES

To reinforce the mathematical foundation with advanced topics

To enable the student to appreciate the engineering aspect of mathematics To equip the student with tools to confront continual mathematical challenges

UNIT 1 2D TRANSFORM S 12 Hrs.

Need for transform – Review of 1D Transform – 2D DFT – IDFT – properties – Image transforms – 2D

Orthogonal and Unitary transform and its properties – Separable transforms – Walsh, Hadamard, Haar, DST, DCT,

Slant, SVD & KL transforms.

UNIT 2 WAVELET TRANSFORM S & ITS APPLICATIONS 12Hrs.

Wavelet transforms – 1D & 2D Wavelet transform – basis and orthogonal basis – Time and frequency

decompositions – STFT – CWT, DWT, Haar wavelet and Shannon wavelet – MRA – Orthonormal Wavelets – Fast

Wavelet transform – Wavelet Packets – Biorthogonal Wavelet Bases – SPIHT Algorithm – Wavelet Denoising –

Wavelet based Signal Processing – Signal & Image compression.

UNIT 3 PRO BABILITY & RANDO M VARIABLES 12 Hrs

Probability concepts – Random variable – moment generating function – discrete types, continues types –

Distributions - Binomial, Poisson, Geometric, Uniform, Normal and Exponential – Transformation of random variables

– 2D random variables – marginal, conditional, joint probability – Correlation – Regression – Central Limit Theorem.

UNIT 4 RANDOMPR OCESS 12 Hrs.

Notion of Stochastic processes – Stationary and Independence; WSS & Ergodicity – Correlation Functions;

Auto Correlation, Cross Correlation & its properties – expectations – variance, co variance – Power Spectral Density

– properties – energy spectral density – Parseval’s theorem – Wiener Khintchine relation – Linear systems with

Random inputs – response of linear systems to white noise – simulation of white noise – Noise Bandwidth – low pass

filtering of white noise.

UNIT 5 QUEUING THEOR Y 12 Hrs.

Introduction to queuing theory – Characteristics of Queuing Systems – Little’s Law – Markovian Queues –

Single server models – Multiple server models – Non-Markovian Queues – Pollaczek-Khinchine formula – Machine

interference model – steady state analysis – self service queue – Priority Queues – Open and Closed Networks –

queuing applications.

Max. 60 Hours

TEXT / REFERENCE BOOKS

1. Rafael C.Gonzalez & Richard E Woods, Digital Image Processing, Third Edition, Pearson Prentice Hall, 2009.

2. Peyton Z.Peebles, Probability, Random Variables and random signal principles, 4th edition, TMH publication, 2001.

3. Anil K Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989.

4. Raghuveer M Rao & Ajit S Bopardikar, Wavelet Transform: Introduction to Theory & Applications, Pearson Education, 1998.

5. Donald Gross, John F. Shortle, James M. Thompson, and Carl W. Harris, Fundamentals of Queuing Thoery, 4th edition,

Wiley 2008.

END SEMESTER EXAM QUESTION PAPER PATTERN

Ma x. Ma rks : 70 Exam Duration : 3 Hrs.

PART A : 5 Questions of 4 Marks each-No choice 20 Marks

PART B : 2 Questions from each unit with internal choice, each carrying 10 Marks 50 M arks

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