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Book Cover
E-book
Author Kwasinski, Andres

Title Joint Source-Channel Coding
Published Newark : John Wiley & Sons, Incorporated, 2023

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Description 1 online resource (403 p.)
Series IEEE Press Ser
IEEE Press Ser
Contents 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
Notes Description based upon print version of record
6.3 Pruned Tree-Structured Quantization in Noise and Feedback
Form Electronic book
Author Chande, Vinay
ISBN 9781118693773
1118693779