Vector Quantization and Signal Compression

Author:   Allen Gersho ,  Robert M. Gray
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1992
Volume:   159
ISBN:  

9781461366126


Pages:   732
Publication Date:   14 October 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Vector Quantization and Signal Compression


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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 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.

Full Product Details

Author:   Allen Gersho ,  Robert M. Gray
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1992
Volume:   159
Dimensions:   Width: 15.50cm , Height: 3.80cm , Length: 23.50cm
Weight:   1.145kg
ISBN:  

9781461366126


ISBN 10:   1461366127
Pages:   732
Publication Date:   14 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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