ITC-2 (ECE-4007)

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SYLLABUS (This Document contains Module 4)



Module:1 Introduction: 
Review of Probability Theory, Introduction to information theory

Module:2 Entropy: 
Uncertainty, self-information, average information, mutual information and their properties - Entropy
and information rate of Markov sources - Information measures of continuous random variables.

Module:3 Channel Models and Capacity:
Importance and types of various channel models - Channel capacity calculation – Binary symmetric
channel, binary erasure channel - Shannon’s channel capacity and channel coding theorem - Shannon’s limit.

Module:4 Source Coding I:
Source coding theorem - Huffman coding - Non binary Huffman codes - Adaptive Huffman coding -
Shannon Fano Elias coding - Non binary Shannon Fano codes

 Module:5 Source Coding II 
Arithmetic coding - Lempel-Ziv coding - Run-length encoding and rate distortion function - Overview of transform coding.

Module:6 Channel Coding I:
Introduction to Error control codes - Block codes, linear block codes, cyclic codes and their properties, Encoder and Decoder design- serial and parallel concatenated block code, Convolution Codes- Properties, Encoder-Tree diagram, Trellis diagram, state diagram, transfer function of convolutional codes, Viterbi Decoding, Trellis coding, Reed Solomon codes.

Module:7 Channel Coding II:
Serial and parallel concatenated convolutional codes, Block and convolutional interleaver, Turbo coder, Iterative Turbo decoder, Trellis coded modulation-set partitioning - LDPC Codes.

Module:8 Contemporary Issues



Click to view Module-4



Click Here to View Adaptive Huffman Coding

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