Vector Quantization and Signal Compression (The Springer International Series in Engineering and Computer Science) (Hardcover)

by Allen Gersho (Author), Robert M. Gray (Author)
Key Phrases: entropy coded, super codebook, optimal prediction error filter, Gauss Markov, Input String Index, Shannon Bound (more...)

Editorial Reviews

Product Description
This book is devoted to the theory and practice of signal compression; i.e. data compression applied to signals such as speech, audio, images and video signals. The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity. The conversion of signals into such efficient digital representations has several goals: to minimize the communication capacity required for transmission of high quality signals such as speech and images or, equivalently, to obtain the best possible fidelity over an available communication channel; to minimize the storage capacity required for saving such information in fast storage media and in archival data bases or, equivalently, to obtain the best possible quality for the largest amount of information stored in a given medium; to provide the simplest possible accurate descriptions of a signal so as to minimize the subsequent complexity of signal processing algorithms such as classification, transformation and encryption. In addition to these common goals of communication, storage, and signal processing systems, efficient coding of both analog and digital information is intimately connected to a variety of other fields such as pattern recognition, image classification, speech recognition, cluster analysis regression, and decision tree design. Thus techniques from each field can often be extended to another and combined signal processing operations can take advantage of the similar algorithm structures and designs. This book has been written for use in a graduate course on quantization and signal compression and represents the most comprehensive reference available for research scientists and practitioners working in fields related to the topic.

Product Details

• Hardcover: 760 pages
• Publisher: Springer; 1 edition (November 30, 1991)
• Language: English
• ISBN-10: 0792391810
• ISBN-13: 978-0792391814
• Product Dimensions: 9.2 x 6.4 x 2 inches
• Shipping Weight: 2.6 pounds (View shipping rates and policies)
• Average Customer Review: 4.4 out of 5 stars See all reviews (5 customer reviews)
• Amazon.com Sales Rank: #669,502 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

4 of 4 people found the following review helpful:

5.0 out of 5 stars The most complete book on vector quantization, February 3, 2000

By	Jean (Belgium) - See all my reviews

An essential book for researchers and engineers working on vector quantization. It provides a (nearly) exhaustive description of the available VQ methods, with analyses and discussions. The book concentrates on VQ, so don't buy it if you're not interested in that only. Most math tools explained. Could be a little bit outdated on some aspects -> things are moving fast in the field.

1 of 1 people found the following review helpful:

5.0 out of 5 stars Great reference book for its topic, November 24, 2008

By	David Jimenez "DJ" (College Station, TX) - See all my reviews

It seems somebody was complaining for the printing quality. This is not a calculus book. If you take most theoretical books, and certainly most Springer's book, they don't have nice full color Barney images. This is technical (mostly theoretical) stuff. There is, in my opinion, no problem with the printing at all, clear, quality monochromatic printing.

With respect to the contents of the book, it has almost everything you may want to know about Vector (and even Scalar) quantization and Signal compression. It was a great help while I was writing my doctoral thesis. Gray is probably one of the most respected authorities in the field.

5.0 out of 5 stars This is a very good book for students and engineers., August 17, 1999

By A Customer

Many useful concepts of digital compression can be found in this book. It is easy to read and understand, especially for students and engineers in EE.