ELE535 Information and Coding Theory (Last Offered Spring 2020)
[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