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An introduction to information theory. Fundamental concepts such as entropy, mutual information, and the asymptotic equipartition property are introduced. Additional topics include data compression, communication over noisy channels, algorithmic information theory, and applications.
Prerequisite: 340 or equivalent
Probabilistic Methods in Engineering - ECE **340
MSC 11 6325
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