Details

Autor(en) / Beteiligte

• Kwasinski, Andres,
• Chande, Vinay,

Titel

Joint source-channel coding

Ort / Verlag

Hoboken, New Jersey ; : Wiley

Erscheinungsjahr

[2023]

Link zum Volltext

• Wiley Online Library - AutoHoldings Books

Beschreibungen/Notizen

• Includes bibliographical references and index.
• 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.
• "Presenting in one volume the key theories, concepts and important developments in the area of Joint Source-Channel Coding (JSCC), this book provides the fundamental material needed to enhance the performance of digital and wireless communication systems and networks. It comprehensively introduces the joint source-channel coding technologies for communications systems, including the coding and decoding algorithms, and its emerging applications in current wireless communications. Beginning with introductory material on the topic, the content also covers the full range of theoretical and technical areas before concluding with a section considering emerging applications and designs for source-channel coding"--
• Description based on print version record.