ISBN: 9780849339851 - introduction to information theory and data compression, second edition (2 risultati)

Introduction to Information Theory and Data Compression
D.C. Hankerson; Greg A. Harris; Peter D. Johnson Jr.; Peter D. Johnson; Darrel Hankerson
Lingua: Inglese
Editore: Chapman and Hall/CRC, 1997
- Rilegato
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.ThriftBooks-Atlanta
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 28,08
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibile
Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Altre immaginiIntroduction to Information Theory and Data Compression
Hankerson, D.C.; Harris, Greg A.; Johnson Jr., Peter D.; Johnson, Peter D.; Hankerson, Darrel
Lingua: Inglese
Editore: Chapman and Hall; CRC, United States, 1997
- Rilegato
- Prima edizione
Da: Coffee Cat Books, Chapel Hill, NC, U.S.A.Coffee Cat Books
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 101,33
EUR 6,27 spedizioneSpedito in U.S.A.Quantità: 1 disponibile
Hardcover. Condizione: 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.…