ISBN: 9780486604343 - Mathematical Foundations of Information Theory (dover Books on Mathema 1.4tics) (37 results)

Paperback. Condition: Good. First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition.

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Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Soft cover. Condition: Very Good. VG in glossy illustrated wrappers. Paperbound. Covers lightly shelf-rubbed, creased. Spine slightly cocked, tight, uncreased. Inside front cover has name of prior owner in ink.Text sunned, clean. No marks.

Paperback. Condition: Good. First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition.

paperback. Condition: Very Good. Ships quickly. Mild shelf/reading wear. Orphans Treasure Box sells books to raise money for orphans and vulnerable kids.

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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Paperback or Softback. Condition: New. Mathematical Foundations of Information Theory. Book.

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Paperback. Condition: Very Good. FIRST THUS. First Edition Thus. Published by Dover Publications, 1957. Octavo. Paperback. Book is very good. Covers have shelf wear.

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Soft cover. Condition: Fine. 1st Edition.

Taschenbuch. Condition: Neu. Neuware - First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition.

Paperback. Condition: New.

Paperback. Condition: new. Paperback. The first comprehensive introduction to information theory, this book places the work begun by Shannon and continued by McMillan, Feinstein, and Khinchin on a rigorous mathematical basis. For the first time, mathematicians, statisticians, physicists, cyberneticists, and communications engineers are offered a lucid, comprehensive introduction to this rapidly growing field.In his first paper, Dr. Khinchin develops the concept of entropy in probability theory as a measure of uncertainty of a finite ""scheme,"" and discusses a simple application to coding theory. The second paper investigates the restrictions previously placed on the study of sources, channels, and codes and attempts ""to give a complete, detailed proof of both . Shannon theorems, assuming any ergodic source and any stationary channel with a finite memory.""Partial Contents: I. The Entropy Concept in Probability Theory - Entropy of Finite Schemes. The Uniqueness Theorem. Entropy of Markov chains. Application to Coding Theory. II. On the Fundamental Theorems of Information Theory - Two generalizations of Shannon's inequality. Three inequalities of Feinstein. Concept of a source. Stationarity. Entropy. Ergodic sources. The E property. The martingale concept. Noise. Anticipation and memory. Connection of the channel to the source. Feinstein's Fundamental Lemma. Coding. The first Shannon theorem. The second Shannon theorem. First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …