The Transform and Data Compression Handbook
Book Details
Format
Hardback or Cased Book
ISBN-10
0849336929
ISBN-13
9780849336928
Publisher
Taylor & Francis Inc
Imprint
CRC Press Inc
Country of Manufacture
US
Country of Publication
GB
Publication Date
Sep 27th, 2000
Print length
408 Pages
Weight
740 grams
Dimensions
24.20 x 16.20 x 3.00 cms
Product Classification:
Data capture & analysis
Ksh 42,300.00
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Data compression is one of the primary contributing factors to the explosive growth in information technology. This book describes various discrete transforms and their applications in different disciplines, particularly in communications and image and data storage. It provides the definitions and properties of various transforms presented.
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.
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.
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