Tools for Signal Compression: Applications to Speech and Audio Coding

Table of Contents

Introduction

PART 1. TOOLS FOR SIGNAL COMPRESSION

Chapter 1. Scalar Quantization

1.1. Introduction

1.2. Optimum scalar quantization

1.3. Predictive scalar quantization

Chapter 2. Vector Quantization

2.1. Introduction

2.2. Rationale

2.3. Optimum codebook generation

2.4. Optimum quantizer performance

2.5. Using the quantizer

2.6. Gain-shape vector quantization

Chapter 3. Sub-band Transform Coding

3.1. Introduction

3.2. Equivalence of filter banks and transforms

3.3. Bit allocation

3.4. Optimum transform

3.5. Performance

Chapter 4. Entropy Coding

4.1. Introduction

4.2. Noiseless coding of discrete, memoryless sources

4.3. Noiseless coding of a discrete source with memory

4.4. Scalar quantizer with entropy constraint

4.5. Capacity of a discrete memoryless channel

4.6. Coding a discrete source with a fidelity criterion

PART 2. AUDIO SIGNAL APPLICATIONS

Chapter 5. Introduction to Audio Signals

5.1. Speech signal characteristics

5.2. Characteristics of music signals

5.3. Standards and recommendations

Chapter 6. Speech Coding

6.1. PCM and ADPCM coders

6.2. The 2.4 bit/s LPC-10 coder

6.3. The CELP coder

Chapter 7. Audio Coding

7.1. Principles of “perceptual coders”

7.2. MPEG-1 layer 1 coder

7.3. MPEG-2 AAC coder

7.4. Dolby AC-3 coder

7.5. Psychoacoustic model: calculating a masking threshold

Chapter 8. Audio Coding: Additional Information

8.1. Low bit rate/acceptable quality coders

8.2. High bit rate lossless or almost lossless coders

Chapter 9. Stereo Coding: A Synthetic ...