## Thursday, June 28, 2012

### EC2036 INFORMATION THEORY SYLLABUS | ANNA UNIVERSITY BE ECE 7TH SEMESTER SYLLABUS REGULATION 2008 2011-2012

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EC2036 INFORMATION THEORY SYLLABUS | ANNA UNIVERSITY BE ECE 7TH SEMESTER SYLLABUS REGULATION 2008 2011-2012 BELOW IS THE ANNA UNIVERSITY SEVENTH SEMESTER BE ELECTRONICS AND COMMUNICATION ENGINEERING DEPARTMENT SYLLABUS IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011-2012 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
EC2036 INFORMATION THEORY L T P C
3 0 0 3
AIM
To introduce the fundamental concepts of information theory.
OBJECTIVES
 To have a complete understanding of error–control coding.
 To understand encoding and decoding of digital data streams.
 To introduce methods for the generation of these codes and their decoding
techniques.
 To have a detailed knowledge of compression and decompression techniques.
 To introduce the concepts of multimedia communication.
UNIT I QUANTITATIVE STUDY OF INFORMATION 8
Basic inequalities, Entropy, Kullback-Leibler distance, Mutual information, Bounds on
entropy, Fisher information , Cramer Rao inequality, Second law of thermodynamics ,
Sufficient statistic , Entropy rates of a Stochastic process
UNIT II CAPACITY OF NOISELESS CHANNEL 8
Fundamental theorem for a noiseless channel ,Data compression , Kraft inequality ,
Shannon-Fano codes , Huffman codes , Asymptotic equipartition , Rate distortion theory
UNIT III CHANNEL CAPACITY 9
Properties of channel capacity , Jointly typical sequences , Channel Coding Theorem,
converse to channel coding theorem, Joint source channel coding theorem ,
UNIT IV DIFFERENTIAL ENTROPY AND GAUSSIAN CHANNEL 9
AEP for continuous random variables, relationship between continuous and discrete
entropy, properties of differential entropy, Gaussian channel definitions, converse to
coding theorem for Gaussian channel, channels with colored noise, Gaussian channels
with feedback .
UNIT V NETWORK INFORMATION THEORY 11
Gaussian multiple user channels , Multiple access channel , Encoding of correlated
sources , Broadcast channel , Relay channel , Source coding and rate distortion with
side information , General multi-terminal networks.
TOTAL : 45 PERIODS
TEXT BOOK
1. Elements of Information theory – Thomas Cover, Joy Thomas : Wiley 1999
98
REFERENCE
1. Information theory, inference & learning algorithms – David Mackay year?