EC-702 (B) Information Theory and Coding Notes
5 notes for Information Theory and Coding, unit by unit.
Notes for EC-702 (B)
- Unit 1 · Short notes Information Theory Introduction to uncertainty, entropy and its properties · Entropy of binary memoryless source and its extension to discrete memory‑less source · Measure of information · Information content of message · Average information content of symbols · Self information
- Unit 2 · Short notes Coding theorem Source coding theorem · Prefix coding · Shannon’s encoding algorithm · Shannon‑Fano encoding algorithm · Huffman coding · Extended Huffman coding
- Unit 3 · Short notes Information Channels Communication channels · Channel models · Channel matrix · Joint probability matrix · Discrete memory‑less channels · Binary symmetric channel and its channel capacity
- Unit 4 · Short notes Error Control Coding Introduction and examples of error control coding · Methods of controlling errors · Types of errors · Types of codes · Linear block codes: matrix description, error detection and correction capabilities, probability of undetected error for linear block code in BSC, Hamming codes and their applications · Cyclic codes: basic properties, encoding using an (n‑k) shift register, generator and parity‑check matrix, encoding and decoding circuits, syndrome computation, error detection and correction
- Unit 5 · Short notes Advanced Coding Techniques Introduction to BCH codes, encoding and decoding, error location and correction · Convolutional codes: construction, convolution encoder, time‑domain approach, transform‑domain approach, code tree, trellis and state diagram · Viterbi algorithm: theorem for maximum‑likelihood decoding
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