Information Theory: Data Compression, Channel Coding, Entropy, and Mutual Information

نویسنده

  • Yousef M. Qassim
چکیده

This report gives an insight about two major aspects of information theory, including data compression and channel coding. It discusses the simulations results obtained using MATLAB from the information theory view point. It also defines these aspects by using the definitions of entropy and mutual information which reflects the optimum data compression could be obtained and the ultimate transmission rate for communication systems. Finally, it emphasises on the basic concepts of information theory, and how it’s a reflection of reality. Keywords— Entropy, Mutual Information, Data, Compression, Channel Coding.

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تاریخ انتشار 2010