Elements of Information Theory by Thomas M. Cover (.PDF)
File Size: 10 MB
Elements of Information Theory by Thomas M. Cover, Joy A. Thomas
Requirements: .PDF reader, 10 Mb
Overview: Elements of Information Theory, Second Edition, covers the standard topics of information theory, such as entropy, data compression, channel capacity, rate distortion, multi-user theory and hypothesis testing. It presents applications to communications, statistics, complexity theory, and investment. Chapters 1-9 cover the asymptotic equipartition property, data compression and channel capacity culminating in the capacity of the Gaussian channel. Chapters 10-17 include rate distortion, the method of types, Kolmogorov complexity, network information theory, universal source coding and portfolio theory.
Genre: Non-Fiction > Tech & Devices
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