Tools for Signal Compression: Applications to Speech and Audio Coding

Author:   Nicolas Moreau (Technical University of Berlin, Germany)
Publisher:   ISTE Ltd and John Wiley & Sons Inc
ISBN:  

9781848212558


Pages:   224
Publication Date:   08 April 2011
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Tools for Signal Compression: Applications to Speech and Audio Coding


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Author:   Nicolas Moreau (Technical University of Berlin, Germany)
Publisher:   ISTE Ltd and John Wiley & Sons Inc
Imprint:   ISTE Ltd and John Wiley & Sons Inc
Dimensions:   Width: 16.00cm , Height: 2.80cm , Length: 23.60cm
Weight:   0.522kg
ISBN:  

9781848212558


ISBN 10:   1848212550
Pages:   224
Publication Date:   08 April 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Introduction xi PART 1. TOOLS FOR SIGNAL COMPRESSION 1 Chapter 1. Scalar Quantization 3 1.1. Introduction 3 1.2. Optimum scalar quantization 4 1.3. Predictive scalar quantization 10 Chapter 2. Vector Quantization 23 2.1. Introduction 23 2.2. Rationale 23 2.3. Optimum codebook generation 26 2.4. Optimum quantizer performance 28 2.5. Using the quantizer 30 2.6. Gain-shape vector quantization 32 Chapter 3. Sub-band Transform Coding 37 3.1. Introduction 37 3.2. Equivalence of filter banks and transforms 38 3.3. Bit allocation 40 3.4. Optimum transform 46 3.5. Performance 48 Chapter 4. Entropy Coding 53 4.1. Introduction 53 4.2. Noiseless coding of discrete, memoryless sources 54 4.3. Noiseless coding of a discrete source with memory 66 4.4. Scalar quantizer with entropy constraint 73 4.5. Capacity of a discrete memoryless channel 79 4.6. Coding a discrete source with a fidelity criterion 83 PART 2. AUDIO SIGNAL APPLICATIONS 89 Chapter 5. Introduction to Audio Signals 91 5.1. Speech signal characteristics 91 5.2. Characteristics of music signals 92 5.3. Standards and recommendations 93 Chapter 6. Speech Coding 101 6.1. PCM and ADPCM coders 101 6.2. The 2.4 bit/s LPC-10 coder 102 6.3. The CELP coder 107 Chapter 7. Audio Coding 123 7.1. Principles of “perceptual coders” 123 7.2. MPEG-1layer 1 coder 126 7.3. MPEG-2AACcoder 130 7.4. DolbyAC-3 coder 134 7.5. Psychoacoustic model: calculating a masking threshold 135 Chapter 8. Audio Coding: Additional Information 141 8.1. Low bit rate/acceptable quality coders 141 8.2. High bit rate lossless or almost lossless coders 146 Chapter 9. Stereo Coding: A Synthetic Presentation 149 9.1. Basic hypothesis and notation 149 9.2. Determining the inter-channel indices 151 9.3. Downmixing procedure 154 9.4. At the receiver 158 9.5. Draft International Standard 161 PART 3. MATLAB_ PROGRAMS 163 Chapter 10. A Speech Coder 165 10.1. Introduction 165 10.2. Script for the calling function 165 10.3. Script for called functions 170 Chapter 11. A Music Coder 173 11.1. Introduction 173 11.2. Script for the calling function 173 11.3. Script for called functions 176 Bibliography 195 Index 199

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Nicolas Moreau, Retired Professor.

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