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1691161,212 (3.63)None
Excellent introduction treats three major areas: analysis of channel models and proof of coding theorems; study of specific coding systems; and study of statistical properties of information sources. Appendix summarizes Hilbert space background and results from the theory of stochastic processes. Advanced undergraduate to graduate level. Bibliography.… (more)
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Quite fascinating, but I don't really know much about probability and that would have helped out a great deal. I have a book on probability, so perhaps I will read that next.

This book expands on the Information Theory proposed by Claude Shannon in 1948 with his Mathematical Theory of Information. Covers some proofs and goes into further depth than Shannon did with it. Contains problems and solutions in the back, along with an appendix that explains some stuff about Hilbert spaces. ( )
  Floyd3345 | Jun 15, 2019 |
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Excellent introduction treats three major areas: analysis of channel models and proof of coding theorems; study of specific coding systems; and study of statistical properties of information sources. Appendix summarizes Hilbert space background and results from the theory of stochastic processes. Advanced undergraduate to graduate level. Bibliography.

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