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Record Nr. |
UNINA990002900350403321 |
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Autore |
Wavelets And their Applications |
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Titolo |
Wavelets and their applications : case studies / edited by Mei Kobayashi |
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Pubbl/distr/stampa |
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Philadelphia : Siam, 1998 |
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ISBN |
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Descrizione fisica |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910830397403321 |
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Autore |
Schlegel Christian B. |
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Titolo |
Trellis and turbo coding : iterative and graph-based error control coding / / Christian B. Schlegel, Lance C. Pérez |
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Pubbl/distr/stampa |
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Piscataway, NJ : , : IEEE Press |
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Hoboken, New Jersey : , : Wiley, , [2015] |
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©2015 |
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ISBN |
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1-119-10632-X |
1-119-10631-1 |
1-119-10633-8 |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (521 p.) |
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Collana |
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IEEE series on digital & mobile communication |
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Disciplina |
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Soggetti |
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Error-correcting codes (Information theory) |
Trellis-coded modulation |
Digital communications |
Coding theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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TRELLIS AND TURBO CODING; Contents; 1 Introduction; 1.1 Modern Digital Communications; 1.2 The Rise of Digital Communications; 1.3 Communication Systems; 1.4 Error Control Coding; 1.5 Bandwidth, Power, and Complexity; 1.6 A Brief History-The Drive Towards Capacity; 2 Communications Basics; 2.1 The Probabilistic Viewpoint; 2.2 Vector Communication Channels; 2.3 Optimum Receivers; 2.4 Matched Filters; 2.5 Message Sequences; 2.6 The Complex Equivalent Baseband Model; 2.7 Spectral Behavior; 2.8 Advanced Modulation Methods; 2.8.1 OFDM; 2.8.2 Multiple Antenna Channels (MIMO Channels) |
2.9 A Communications System Case Study2.10 Appendix 2.A; 3 Trellis-Coded Modulation; 3.1 An Introductory Example; 3.2 Construction of Codes; 3.3 Lattices; 3.4 Lattice Formulation of Trellis Codes; 3.5 Rotational Invariance; 3.6 V.fast; 3.7 The IEEE 802.3an Standard; 3.8 Historical Notes; 4 Trellis Representations; 4.1 Preliminaries; 4.2 The Parity-Check Matrix; 4.3 Parity-Check Trellis Representations; 4.4 Convolutional Codes and Their Trellis; 4.5 Minimal Trellises; 4.6 Minimum-Span Generator Matrices; 4.7 Systematic Construction of the PC-Trellis; 4.8 Tail-Biting Trellises |
4.9 The Minimal Trellis of Convolutional Codes4.10 Fundamental Theorems from Basic Algebra; 4.11 Systematic Encoders; 4.12 Maximum Free-Distance Convolutional Codes; 4.13 The Squaring Construction and the Trellis of Lattices; 4.14 The Construction of Reed-Muller Codes; 4.15 A Decoding Example; 4.16 Polar Codes and Their Relationship to RM Codes; Appendix 4.A; 5 Trellis and Tree Decoding; 5.1 Background and Introduction; 5.2 Tree Decoders; 5.3 The Stack Algorithm; 5.4 The Fano Algorithm; 5.5 The M-Algorithm; 5.6 Maximum Likelihood Decoding; 5.7 A Posteriori Probability Symbol Decoding |
5.8 Log-APP and Approximations5.9 Error Analysis and Distance Spectrum; 5.10 Random Coding Analysis of Optimal Decoding; 5.11 Random Coding Analysis of Sequential Decoding; 5.12 Some Final Remarks; 6 Low-Density Parity-Check Codes; 6.1 Introduction; 6.2 LDPC Codes and Graphs; 6.3 LDPC Decoding via Message Passing; 6.4 Analysis Techniques; 6.4.1 (Error) Probability Evolution for Binary Erasure Channels; 6.4.2 Error Mechanism of LDPCs on BECs; 6.4.3 Binary Symmetric Channels and the Gallager Algorithms; 6.4.4 The AWGN Channel; 6.5 Code Families and Construction |
6.5.1 Constructions with Permutation Matrices6.5.2 Cycle Reduction Design; 6.5.3 RS-based Construction; 6.5.4 Repeat-Accumulate Codes; 6.6 Encoding of LDPC Codes; 6.6.1 Triangular LDPC Codes; 6.6.2 Specialized LDPC Codes; 6.6.3 Approximate Triangularization; Appendix 6.A; 7 Error Floors; 7.1 The Error Floor Problem; 7.2 Dynamics of the Absorption Sets; 7.3 Code Design for Low Error Floors; 7.4 Impact of the Decoding Algorithm; 7.5 Importance Sampling (IS); 7.6 Computing Error Rates via Importance Sampling; 8 Turbo Coding: Basic Principles; 8.1 Introduction |
8.2 Parallel Concatenated Convolutional Codes |
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Sommario/riassunto |
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This new edition has been extensively revised to reflect the progress in error control coding over the past few years. Over 60% of the material has been completely reworked, and 30% of the material is original.<br /> <ul> <li>Convolutional, turbo, and low density parity-check (LDPC) coding and polar codes in a unified framework</li> <li>Advanced research-related developments such as spatial coupling</li> <li>A focus on algorithmic and implementation aspects of error control |
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