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Entropy and Information Theory

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  • 409 pages
  • 15 hours of reading

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The updated edition of this information theory classic delves into Shannon's source and channel coding theorems, covering one-third of its content on these foundational concepts. The remaining sections explore various sources, channels, and coding techniques, alongside detailed discussions on information and distortion measures, including their properties. This comprehensive approach makes it a valuable resource for understanding the intricacies of information theory.

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Entropy and Information Theory, Robert M. Gray

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Released
2011
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(Hardcover)
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