Cover
Title Page
Copyright
Contents
Preface
Chapter 1 Introduction and Background
1.1 Simplified Model for a Communication System
1.2 Entropy and Information
1.3 Introduction to Source Coding
1.3.1 Sampling and Quantization of Signals
1.3.2 Source Coding of Quantized Signals
1.3.3 Distortion and Rate‐distortion Theory
1.4 Channels, Channel Coding, and Capacity
1.4.1 Channel Models
1.4.2 Wireless Channels
1.4.3 Channel Coding and Channel Capacity
1.5 Layered Model for a Communication System
1.6 Distortion, Quality of Service, and Quality of Experience
1.6.1 Objective Measurements of Distortion or Quality
1.6.2 Subjective and Perceptually Based Measurements of Distortion or Quality
1.7 Shannon's Separation Principle and Joint Source–Channel Coding
1.8 Major Classes of Joint Source–Channel Coding Techniques
References
Chapter 2 Source Coding and Signal Compression
2.1 Types of Sources
2.2 Lossless Compression
2.2.1 Entropy Coding
2.2.2 Predictive Coding
2.3 Lossy Compression
2.3.1 Quantization
2.3.2 Differential Coding
2.3.3 Transform Coding
2.3.4 Subband and Wavelet Coding
2.4 Embedded and Layered Coding
2.5 Coding of Practical Sources
2.5.1 Image Coding ‐ JPEG
2.5.2 Embedded Image Coding – SPIHT
2.5.3 Video Coding
2.5.4 Speech Coding
References
Chapter 3 Channel Coding
3.1 Linear Block Codes
3.1.1 Binary Linear Block Codes
3.1.2 Generator Matrix, Parity‐Check Matrix, and Syndrome Testing
3.1.3 Common Linear Block Codes
3.1.4 Error and Erasure Correction with Block Codes
3.2 Convolutional Codes
3.2.1 Code Characterization: State and Trellis Diagrams
3.2.2 Maximum Likelihood (ML) Decoding
3.2.3 The Viterbi Algorithm
3.2.4 Error Correction Performance
3.3 Modified Linear Codes (Puncturing, Shortening, Expurgating, Extending, Augmenting, and Lengthening)
3.4 Rate‐Compatible Channel Codes
References
Chapter 4 Concatenated Joint Source–Channel Coding
4.1 Concatenated JSCC Bit Rate Allocation
4.2 Performance Characterization
4.2.1 Practical Source and Channel Codecs
4.3 Application Cases
References
Chapter 5 Unequal Error Protection Source–Channel Coding
5.1 Effect of Channel Errors on Source Encoded Data
5.2 Priority Encoding Transmission Schemes for Unequal Loss Protection
5.3 Dynamic Programming Algorithm for Optimal UEP
5.4 Unequal Error Protection Using Digital Fountain Codes
References
Chapter 6 Source–Channel Coding with Feedback
6.1 Joint Source–Channel Coding Formulation for a System with ACK/NACK Feedback
6.1.1 Performance Measurement
6.1.2 Classification of the Transmitters
6.1.3 Decoder Structure and Design
6.2 Packet Combining for Joint Source–Channel ARQ over Memoryless Channels
6.2.1 Decoder Design Problem
6.3 Pruned Tree‐Structured Quantization in Noise and Feedback
6.3.1 Pruned Tree‐Structured Vector Quantizers
6.3.2 Progressive Transmission with ACK/NACK Feedback of TSVQ‐Encoded Sources
6.3.3 Progressive Transmission and Receiver‐Driven Rate Control
6.4 Delay‐Constrained JSCC Using Incremental Redundancy with Feedback
6.4.1 System Description
6.4.2 Optimal Source and Channel Rate Allocations Design
6.4.3 Performance
References
Chapter 7 Quantizers Designed for Noisy Channels
7.1 Channel‐Optimized Quantizers
7.2 Scalar Quantizer Design
7.3 Vector Quantizer Design
7.4 Channel Mismatch Considerations
7.5 Structured Vector Quantizers
References
Chapter 8 Error‐Resilient Source Coding
8.1 Multiple‐Description Coding
8.2 Error‐Resilient Coded Bit Streams
8.2.1 Robust Entropy Coding
8.2.2 Predictive Coding Mode Selection
References
Chapter 9 Analog and Hybrid Digital–Analog JSCC Techniques
9.1 Analog Joint Source–Channel Coding Techniques
9.1.1 Analog Joint Source–Channel Coding in Vector Spaces
9.1.2 Analog Joint Source–Channel Coding Through Artificial Neural Networks
9.2 Hybrid Digital–Analog JSCC Techniques
References
Chapter 10 Joint Source–Channel Decoding
10.1 Source‐Controlled Channel Decoding
10.2 Exploiting Residual Redundancy at the Decoder
10.2.1 The Soft Output Viterbi Algorithm (SOVA)
10.2.2 Exploiting Residual Redundancy to Estimate A Priori Information
10.3 Iterative Source–Channel Decoding
10.3.1 The Channel Coding Optimal Estimation Algorithm
10.3.2 Channel Coding Optimal Estimation Applied to JSCD
References
Chapter 11 Recent Applications and Emerging Designs in Source–Channel Coding
11.1 Source–Channel Coding for Wireless Sensor Networks
11.2 Extending Network Capacity Through JSCC
11.2.1 Video Telephony Calls as Application Example
11.2.2 CDMA Statistical Multiplexing Resource Allocation and Flow Control
11.2.3 Overhead from Communicating Rate‐Distortion Data
11.2.4 Analysis for Dynamic Call Traffic and Admission Control
11.2.5 Performance Results
11.3 Source–Channel Coding and Cognitive Radios
11.4 Design of JSCC Schemes Based on Artificial Neural Networks
References
Index
EULA