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The Transform and Data Compression Handbook - Electrical Engineering & Applied Signal Processing Series | Signal Analysis, Data Compression Techniques, Digital Signal Processing | Perfect for Engineers, Researchers & Students
The Transform and Data Compression Handbook - Electrical Engineering & Applied Signal Processing Series | Signal Analysis, Data Compression Techniques, Digital Signal Processing | Perfect for Engineers, Researchers & Students

The Transform and Data Compression Handbook - Electrical Engineering & Applied Signal Processing Series | Signal Analysis, Data Compression Techniques, Digital Signal Processing | Perfect for Engineers, Researchers & Students

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Description

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.

Reviews

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- Verified Buyer
This is a nice single-source overview of different image compression algorithms, with a decent amount of theory but mostly focused on practical use. It's well organized, with lots of illustrations, examples and sample code that makes it nice for those who are mostly interested in implementation and aren't as concerned about the proofs. It is way overpriced, but possibly justified in that it would take several other $50 books to get the same breadth of info.