ELE535 Information and Coding Theory (Offered Spring 2017)

[3–0, 3 cr.]

Information theory applied to communication systems. It covers digital signals and streams, information measures, data compression, error-correcting codes, block codes, convolutional codes, Viterbi algorithm, noise, maximum-entropy, Markov chains, channel capacity formalism and Shannon’s theorem.

Prerequisite: GNE331 Probability and Statistics