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Focusing on foundational concepts of information theory, this comprehensive text explores key topics such as entropy, data compression, and channel capacity, culminating in advanced discussions on the Gaussian channel. It delves into applications across communications, statistics, and investment, while also covering rate distortion and network information theory. The second edition builds on the success of the first, which has maintained strong adoption since its 1991 release, making it a staple resource for students and professionals alike.
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Elements of Information Theory, Thomas M. Cover, Joy A. Thomas
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- Année de publication
- 2006
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