The Transform and Data Compression Handbook. This item is unavailable.
Language: English
Published by CRC Press Sep 2000, 2000
Series: Book 1 of 24 - Electrical Engineering & Applied Signal Processing
- Hardcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 489.19
Item description from seller
Neuware - Data compression is one of the main contributing factors in the explosive growth in information technology. Without it, a number of consumer and commercial products, such as DVD, videophone, digital camera, MP3, video-streaming and wireless PCS, would have been virtually impossible. Transforming the data to a frequency or other domain enables even more efficient compression. By illustrating this intimate link, The Transform and Data Compression Handbook serves as a much-needed handbook for a wide range of researchers and engineers.The authors describe various discrete transforms and their applications in different disciplines. They cover techniques, such as adaptive quantization and entropy coding, that result in significant reduction in bit rates when applied to the transform coefficients. With clear and concise presentations of the ideas and concepts, as well as detailed descriptions of the algorithms, the authors provide important insight into the applications and their limitations. Data compression is an essential step towards the efficient storage and transmission of information. The Transform and Data Compression Handbook provides a wealth of information regarding different discrete transforms and demonstrates their power and practicality in data compression.…
Seller Inventory # 9780849336928
- Title
- The Transform and Data Compression Handbook
- Author
- Kamisetty Ramam Rao
- Publisher
- CRC Press Sep 2000
- Publication year
- 2000
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0849336929
- ISBN 13
- 9780849336928
- Item weight
- 739 grams
- Dimensions
- 240x162x27 mm
- Series
- Book 1 of 24: Electrical Engineering & Applied Signal Processing
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