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Lecture notes on Information Theory and Coding
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Lecture notes on Information Theory and Coding
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Description
This note explains the following topics: Measuring Information, Joint Entropy, Relative Entropy and Mutual Information, Sources with Memory, Asymptotic Equipartition Property and Source Coding, Channel Capacity and Coding, Continuous Sources and Gaussian Channel, Rate Distortion Theory.
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