
Vector Quantization and Signal Compression
Springer (Publisher)
Published on 14. October 2012
Book
Paperback/Softback
XXIII, 732 pages
978-1-4613-6612-6 (ISBN)
Description
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 the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. 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 (excluding other data types such as financial data or general purpose computer data). 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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1992
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XXIII, 732 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 41 mm
Weight
1130 gr
ISBN-13
978-1-4613-6612-6 (9781461366126)
DOI
10.1007/978-1-4615-3626-0
Schweitzer Classification
Other editions
Additional editions

Allen Gersho | Robert M. Gray
Vector Quantization and Signal Compression
E-Book
12/2012
Springer
€106.99
Available for download

Allen Gersho | Robert M. Gray
Vector Quantization and Signal Compression
Book
11/1991
Kluwer Academic Publishers
€117.69
Shipment within 15-20 days
Content
1 Introduction.- 1.1 Signals, Coding, and Compression.- 1.2 Optimality.- 1.3 How to Use this Book.- 1.4 Related Reading.- I Basic Tools.- 2 Random Processes and Linear Systems.- 3 Sampling.- 4 Linear Prediction.- II Scalar Coding.- 5 Scalar Quantization I.- 6 Scalar Quantization II.- 7 Predictive Quantization.- 8 Bit Allocation and Transform Coding.- 9 Entropy Coding.- III Vector Coding.- 10 Vector Quantization I.- 11 Vector Quantization II.- 12 Constrained Vector Quantization.- 13 Predictive Vector Quantization.- 14 Finite-State Vector Quantization.- 15 Tree and Trellis Encoding.- 16 Adaptive Vector Quantization.- 17 Variable Rate Vector Quantization.