Introduction, Measure of information,Average information content of symbols in long independent sequences,Average information content of symbols in long dependent sequences. Mark-off statistical model for information source, Entropy and information rate of mark-off source.
Encoding of the source output, Shannon’s encoding algorithm. Communication Channels, Discrete communication channels, Continuous channels.
Source coding theorem, Huffman coding, Discrete memory less Channels, Mutual information, Channel Capacity.
Channel coding theorem, Differential entropy and mutual information for continuous ensembles, Channel capacity Theorem.
ntroduction,Types of errors, examples, Types of codes Linear Block Codes: Matrix description, Error detection and correction, Standard arrays and table look up for decoding.
Binary Cycle Codes, Algebraic structures of cyclic codes, Encoding using an (n-k) bit shift register, Syndrome calculation. BCH codes.
RS codes, Golay codes, Shortened cyclic codes, Burst error correcting codes. Burst and Random Error correcting codes.
Convolution Codes, Time domain approach. Transform domain approach.