Introduction to Information Theory and Data Compression
Language: English
Published by Chapman and Hall; CRC, 1997
- First Edition
- Hardcover
- Used
Seller: Coffee Cat Books, Chapel Hill, NC, U.S.A.Coffee Cat Books
AbeBooks seller since September 15, 2021
Condition: Used - Good
US$ 109.76
Quantity: 1 available
Add to basketItem description from seller
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. …
Seller Inventory # 0Gsamwr020526G13
- Title
- Introduction to Information Theory and Data Compression
- Author
- Hankerson, D.C.; Harris, Greg A.; Johnson Jr., Peter D.; Johnson, Peter D.; Hankerson, Darrel
- Publisher
- Chapman and Hall; CRC
- Publication year
- 1997
- Condition
- Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0849339855
- ISBN 13
- 9780849339851
- Edition
- First Edition.
- Item weight
- 49 ounces
- Dimensions
- 1x9x6
- Series
- Book 3 of 7: Applied Mathematics
- Seller catalogs
- COMPUTER SCIENCE
"Synopsis" may belong to another edition of this title.
Review
-Journal of Statistical Computation and Simulation
"About the title" may belong to another edition of this title.
Coffee Cat Books
Chapel Hill, NC, U.S.A.
AbeBooks seller since September 15, 2021
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