CENG 382

Information Theory

An introduction to Shannon’s information theory and elementary binary coding schemes with and without noise. The concept of information, entropy, simple sources, Markov sources, continuous sources, information channels, average error, ambiguity, transformation, capacity, noiseless coding, Kraft-McMillan theorem, Shannon-Fano and Huffmann coding schemes, error-correcting codes, linear codes, cyclic codes. Data Compression.

Introduction; Related concepts.
Entropy, relative entropy and mutual information
Asymptotic equipartition property
Entropy rates of stochastic processes
Data compression -I
Data compression -II
Channel capacity
Differential entropy
The Gaussian channel
Network Information Theory – I
Network Information Theory – II
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