Communication Channels: Encoding and Decoding

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Explores mutual information in biological data, emphasizing its role in quantifying statistical dependence and analyzing protein sequences.

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Delves into challenges and opportunities of multi-user Gaussian channels with noisy feedback, presenting a new mathematical framework.

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Reviews information measures like entropy and introduces mutual information as a measure of information between random variables.

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Explores the role of Computing in society and the basics of computing, algorithms, communication systems, and computer security.

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Explores the basics and applications of convolutional codes in communication systems.

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