Vector Quantization and Signal Compression

by Robert M. Gray and Allen Gersho

Book Overview

Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can...

• Format: Paperback
• Language: English
• ISBN: 1461366127
• ISBN13: 9781461366126
• Release Date: October 2012
• Publisher: Springer
• Length: 732 Pages
• Weight: 2.30 lbs.
• Dimensions: 1.5" x 6.1" x 9.2"

Customer Reviews

Great reference book for its topic

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.

The most complete book on vector quantization

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 Could be a little bit outdated on some aspects -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.

This is a very good book for students and engineers.

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.

large volume,not enough proof, introductory, good organizati

It seems that authors have pictures unrelated to content of the text repeatedly printed. It does not cover major topics, such as .gif/ graphic file compression. On the positive side it is well-written, organized, multiple equation in some chapters, descriptive in others. Very little mathematical proof.