Information Theory

by Robert B. Ash

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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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2 reviews
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.
Un po' troppo legato all'analisi matematica

Personalmente non mi è piaciuto molto l'approccio di Ash alla teoria dell'informazione: mi è sembrato troppo legato all'analisi matematica e quindi si perde il significato pratico della misura dell'informazione. Ciò detto, il testo è comunque apprezzabile per avere una panoramica piuttosto completa della teoria dell'informazione di base, compresa la parte sui canali con memoria (e quindi sulle catene di Markov) e sui segnali continui, oltre che un approfondimento sui codici a currezoine di errore.

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Canonical title
Information Theory

Classifications

Genres
Nonfiction, General Nonfiction
DDC/MDS
003.54Computer science, information & general worksComputer science, knowledge & systemsSystemsTheory of communication and controlInformation theory
LCC
Q360 .A8ScienceScience (General)CyberneticsInformation theory
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Members
186
Popularity
175,902
Reviews
2
Rating
½ (3.63)
Languages
English
Media
Paper, Ebook
ISBNs
4
UPCs
1
ASINs
3