Information Theory and Coding 314 (623.314)
This unit will cease to be available from 2002
This page is no longer current and is not being maintained
Content: The topics covered include basic concepts
of information theory--entropy, mutual information, channel capacity,
information rate, Shannon's noiseless coding theorem and Shannon's fundamental
coding theorem; modelling of information sources--zero-memory and Markov
models; modelling of information channels--BSC and BEC channels,
additivity of information and cascaded channels; construction of compact
source codes--Kraft inequality, compact codes, Huffman and LZW compression
codes; and analysis and design of error-control channel codes--Hamming
distance, binary linear codes and the parity-check matrix, Hamming codes,
checksum codes, cyclic codes and the generator polynomial and CRC codes.
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| Last changed: 7 August 2001 |
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CRICOS Provider No: 00126G