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Introduction to Information Theory and Data Compression, Second Edition (Applied Mathematics) - Tapa dura
Libro 3 de 7: Applied Mathematics
Sinopsis
This book provides a basic introduction to both information theory and data compression. Although the two topics are related, this unique treatment allows readers to explore either topic independently. The authors' presentation of information theory is pitched at an elementary level, making the book less daunting than most other texts. The second edition includes a detailed history of information theory that provides a solid background for the quantification of the topic as developed by Claude Shannon. It also covers the information rate of a code and the trade-off between error correction and rate of information transmission, probabilistic finite state source automata, and wavelet methods.
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Reseña del editor
This book provides a basic introduction to both information theory and data compression. Although the two topics are related, this unique treatment allows readers to explore either topic independently. The authors' presentation of information theory is pitched at an elementary level, making the book less daunting than most other texts. The second edition includes a detailed history of information theory that provides a solid background for the quantification of the topic as developed by Claude Shannon. It also covers the information rate of a code and the trade-off between error correction and rate of information transmission, probabilistic finite state source automata, and wavelet methods.
Reseña del editor
This book evaluates the basics of information theory and data compression. Two separate but related sections present the topics. The information theory section provides a logical foundation for the subsequent presentation of data compression from a practical, engineering perspective, explaining each technique and its application. This section covers lossless compression techniques as well as introduces lossy compression and general procedures for using various transforms.
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Introduction to Information Theory and Data Compression
Publicado por
Chapman and Hall/CRC, 1997
ISBN 10: 0849339855
ISBN 13: 9780849339851
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Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G0849339855I4N00
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Introduction to Information Theory and Data Compression
Publicado por
Chapman and Hall; CRC, 1997
ISBN 10: 0849339855
ISBN 13: 9780849339851
Antiguo o usado
Tapa dura
Original o primera edición
Librería: Coffee Cat Books, Chapel Hill, NC, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Good. First Edition. 1997. First Edition. Chapman and Hall; CRC. Good. Hardcover. Text with scattered markings, underlining & formula notations throughout (some pages heavy). Name stamp of prior owner to endpages (Provenance copy, from the personal collection of former Computer, Engineering & Electrical Dept. Professor). Cover clean & bright, bit of edge, shelf wear. Binding solid & square. 332 pp. Illustrated. Dual-topic textbook covering information theory (entropy, channel capacity, Shannon's theorems, coding theory, error correction) and data compression (lossless methods: Huffman, arithmetic coding, Lempel-Ziv, adaptive methods, dictionary methods; lossy methods: JPEG, transform methods, wavelets). Topics can be studied independently. Includes elementary probability, Bernoulli trials, prefix-condition codes, Kraft-McMillan inequality, maximum likelihood decoding, probabilistic finite state automata, Gallager/Knuth algorithms. Ships quickly and with care. ___________________________________________________________________ __________________________________________________________ SYNOPSIS & HISTORY: An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no prior knowledge of information theory. The treatment of information theory, while theoretical and abstract, is quite elementary, making this text less daunting than many others. After presenting the fundamental definitions and results of the theory, the authors then apply the theory to memoryless, discrete channels with zeroth-order, one-state sources. Nº de ref. del artículo: 0Gsamwr020526G13
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