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Why entropy is the fundamental measure of infor- mation content. • source coding theorem; prefix, variable-, and fixed-length codes.
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Syllabus l1- introduction to information theory and coding l2-definition of information measure and entropy l3-extention of an information source and markov.
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Introduction to information theory, uncertainty and information, average mutual information and entropy, information measures for continuous random variables, waveform sources amplitude quantizing: quantizing noise, uniform quantizing,.
Rate distortion theory is introduced and the performance of various source codes is presented.
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