Joint source-channel coding of discrete-time signals with continuous amplitudes / Norbert Goertz.

Format:

Book

Author/Creator:

Goertz, Norbert.

Series:

Communications and signal processing (London, England) ; v. 1.

Communications and signal processing ; v. 1

Language:

English

Subjects (All):

Coding theory.

Adaptive signal processing.

Physical Description:

1 online resource (207 p.)

Edition:

1st ed.

Place of Publication:

London : Imperial College Press ; Singapore ; Hackensack, NJ : Distributed by World Scientific Publishing, c2007.

Language Note:

English

Summary:

This book provides the first comprehensive and easy-to-read discussion of joint source-channel encoding and decoding for source signals with continuous amplitudes. It is a state-of-the-art presentation of this exciting, thriving field of research, making pioneering contributions to the new concept of source-adaptive modulation. The book starts with the basic theory and the motivation for a joint realization of source and channel coding. Specialized chapters deal with practically relevant scenarios such as iterative source-channel decoding and its optimization for a given encoder, and also

Contents:

Contents; Preface; 1. Introduction; 2. Joint Source-Channel Coding: An Overview; 2.1 System Model; 2.1.1 Channel; 2.1.2 Encoder; 2.1.3 Decoder; 2.2 System Distortion; 2.3 Optimal Decoder for a Given Encoder; 2.4 Optimal Encoder; 2.5 Special Cases; 2.5.1 Preliminary Remarks; 2.5.2 Gaussian Source and Gaussian Channel; 2.5.2.1 System Example; 2.5.2.2 Comparison with Results from Information Theory; 2.5.3 Channels with Binary Input: Channel-Optimized Vector Quantization; 2.5.3.1 Binary Symmetric Channel (BSC); 2.5.3.2 Channels with Binary Input but with Real Output

2.5.3.3 Optimization of the Encoder Mapping: Codebook Training 2.5.3.4 Some Simulation Results for COVQ; 2.6 Practical Approaches to Source-Channel Coding; 2.6.1 Systems for Multimedia Transmission; 2.6.2 Separation of Source and Channel Coding; 2.6.2.1 Channel Codes have a Non-Zero Residual Bit Error Rate; 2.6.2.2 Source Encoder Output Bits Contain Redundancies; 2.6.2.3 It Matters, which Bit is in Error; 2.6.3 Approaches to Joint Source-Channel Decoding; 2.6.3.1 Unequal Error Protection and Error Concealment; 2.6.3.2 Source-Controlled Channel Decoding; 2.6.3.3 Estimation-Based Source Decoding

2.6.3.4 Iterative Source-Channel Decoding 2.6.4 Approaches to Joint Source-Channel Encoding; 3. Joint Source-Channel Decoding; 3.1 Introduction and System Model; 3.2 Near Optimum Joint Source-Channel Decoding; 3.2.1 Specialization and Generalization; 3.3 Iterative Source-Channel Decoding (ISCD); 3.3.1 Principle and Derivation; 3.3.2 Efficient Implementation of ISCD by L-values; 3.3.3 Simulation Results for ISCD; 3.4 Quantizer Bit Mappings for ISCD; 3.4.1 Basic Considerations; 3.4.2 Optimization by Binary Switching; 3.4.3 Simulation Results with Optimized Bit Mappings; 3.5 Conclusions

4. Channel-Adaptive Scaled Vector Quantization 4.1 Introduction; 4.2 Memory and Complexity Issues for Vector Quantization (VQ) and Channel-Optimized VQ; 4.3 Channel-Adaptive Scaled Vector Quantization; 4.3.1 Basic Principle; 4.3.2 Optimization of CASVQ; 4.3.3 Complexity and Memory Requirements of CASVQ for Transmission over Time-Varying Channels; 4.4 Simulation Results; 4.5 Conclusions; 5. Index Assignments for Multiple Descriptions; 5.1 Introduction; 5.2 System Model; 5.3 Optimal Decoder for a Given Index Assignment; 5.4 Quality Criterion for the Index Assignments

5.5 Optimization of the Index Assignments 5.5.1 The Complexity Problem; 5.5.2 Index Optimization by the Binary Switching Algorithm for a System with a Single Description; 5.5.3 Binary Switching for Multiple Descriptions; 5.6 Simulation Results; 5.7 Conclusions; 6. Source-Adaptive Modulation; 6.1 Introduction; 6.2 Conventional System Model; 6.2.1 Conventional Hard-Decision Receiver; 6.2.2 Conventional Soft-Decision Receiver; 6.3 Principle of Source-Adaptive Modulation (SAM); 6.4 SAM for Detection of M-PSK Signal Sets; 6.4.1 Derivation of the Optimal Solution; 6.4.2 Test-Point Method

6.4.3 Analytical Approximation

Notes:

Description based upon print version of record.

Includes bibliographical references (p. 187-191) and index.

ISBN:

9786611867607

9781281867605

1281867608

9781860948466

1860948464

OCLC:

261135666