rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Trellis and turbo coding
  name:
    name part: Schlegel, Christian
    role:
      role term: creator
    role:
      role term: author
    role:
      role term: aut
  name:
    name part: Perez, Lance
    role:
      role term: author
    role:
      role term: aut
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: nju
    date issued: 2004
    copyright date: 2004
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xiv, 386 pages) : illustrations
  abstract: Trellis and turbo coding are used to compress and clean communications signals to allow greater bandwidth and clarity. Presents the basics, theory, and applications of these techniques with a focus on potential standard state-of-the art methods in the future. Provides a classic basis for anyone who works in the area of digital communications.
  table of 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 Toward Capacity -- 2. Communication Theory 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 Moel -- 2.7. Spectral Behavior -- 2.8. Multiple Antenna Channels (MIMO Channels) -- Appendix 2.A -- 3. Trellis-Coded Modulation -- 3.1. An Introductory Example -- 3.2. Group-Trellis Codes -- 3.3. The Mapping Function -- 3.4. Construction of Codes -- 3.5. Lattices -- 3.6. Lattice Formulation of Trellis Codes -- 3.7. Rotational Invariance -- 3.8. V.fast -- 3.9. Geometric Uniformity -- 3.10. Historical Notes -- 4. Convolutional Codes -- 4.1. Convolutional Codes as Binary Trellis Codes -- 4.2. Codes and Encoders -- 4.3. Fundamental Theorems from Basic Algebra -- 4.4. Systematic Encoders -- 4.5. Systematic Feedback and Recursive Systematic Encoder Realizations -- 4.6. Maximum Free-Distance Convolutional Codes -- Appendix 4.A -- 5. Link to Block Codes -- 5.1. Preliminaries -- 5.2. Block Code Primer -- 5.3. Trellis Description of Block Codes -- 5.4. Minimal Trellises -- 5.5. Minimum-Span Generator Matrices -- 5.6. Construction of the PC Trellis -- 5.7. Tail-Biting Trellises -- 5.8. The Squaring Construction and the Trellis of Lattices -- 5.9. The Construction of Reed-Muller Codes -- 5.10. A Decoding Example -- 6. Performance Bounds -- 6.1. Error Analysis -- 6.2. The Error Event Probability -- 6.3. Finite-State Machine Description of Error Events -- 6.4. The Transfer Function Bound -- 6.5. Reduction Theorems -- 6.6. Random Coding Bounds -- Appendix 6.A -- Appendix 6.B -- 7. Decoding Strategies -- 7.1. Background and Introduction -- 7.2. Tree Decoders -- 7.3. The Stack Algorithm -- 7.4. The Fano Algorithm -- 7.5…
  table of contents: 8. Factor Graphs -- 8.1. Factor Graphs: Introduction and History -- 8.2. Graphical Function Representation -- 8.3. The Sum-Product Algorithm -- 8.4. Iterative Probability Propagation -- 8.5. The Factor Graph of Trellises -- 8.6. Exactness of the Sum-Product Algorithm for Trees -- 8.7. Binary Factor Graphs -- 8.8. Normal Factor Graphs -- 9. Low-Density Parity-Check Codes -- 9.1. Introduction -- 9.2. LDPC Codes and Graphs -- 9.3. Message Passing Decoding Algorithms -- 9.4. Density Evolution -- 9.5. Density Evolution for Binary Erasure Channels -- 9.6. Binary Symmetric Channels and the Gallager Algorithms -- 9.7. The AWGN Channel -- 9.8. LDPC Encoding -- 9.9. Encoding via Message-Passing -- 9.10. Repeat Accumulate Codes on Graphs -- 10. Parallel Concatenation (Turbo Codes) -- 10.1. Introduction -- 10.2. Parallel Concatenated Convolutional Codes -- 10.3. Distance Spectrum Analysis of Turbo Codes -- 10.4. The Free Distance of a Turbo Code -- 10.5. The Distance Spectrum of a Turbo Code -- 10.6. Weight Enumerator Analysis of Turbo Codes -- 10.7. Iterative Decoding of Turbo Codes -- 10.8. EXIT Analysis -- 10.9. Interleavers -- 10.10. Turbo Codes in Telecommunication Standards -- 10.11. Epilog -- 11. Serial Concatenation -- 11.1. Introduction -- 11.2. An Introductory Example -- 11.3. Weight Enumerator Analysis of SCCCs -- 11.3.1. Design Rule Examples -- 11.4. Iterative Decoding and Performance of SCCCs -- 11.4.1. Performance of SCCCs and PCCCs -- 11.5. EXIT Analysis of Serially Concatenated Codes -- 11.6. Conclusion -- 12. Turbo-Coded Modulation -- 12.1. Introduction -- 12.2. Turbo-Trellis-Coded Modulation (TTCM) -- 12.3. Serial Concatenation -- 12.4. EXIT Analysis -- 12.5. Differential-Coded Modulation -- 12.6. Concatenated Space-Time Coding -- 12.7. Product Codes and Block Turbo Decoding -- 12.8. Approximate APP Decoding -- 12.9. Product Codes with High-Order Modulations -- 12.10. The IEEE 802.16 Standard.
  note: Christian B. Schlegel, Lance C. Pérez.
  note: Includes bibliographical references and index.
  note: English.
  subject:
    topic: Error-correcting codes (Information theory)
  subject:
    topic: Trellis-coded modulation
  subject:
    topic: Digital communications
  subject:
    topic: Coding theory
  classification: TK5102.96 .S33 2004
  classification: 621.382
  classification: 53.71
  classification: ZN 6045
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    identifier: (DLC) 2003063355
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  record info:
    record content source: NhCcYBP
    record creation date: 041012
    record change date: 20260214213753.2
    record identifier: in00004683558
    language of cataloging:
      language term: eng