Fundamentals of Convolutional Coding

Fundamentals of Convolutional Coding

Author: Rolf Johannesson

Publisher: John Wiley & Sons

Published: 2015-05-19

Total Pages: 550

ISBN-13: 1119098750

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Fundamentals of Convolutional Coding, Second Edition, regarded as a bible of convolutional coding brings you a clear and comprehensive discussion of the basic principles of this field Two new chapters on low-density parity-check (LDPC) convolutional codes and iterative coding Viterbi, BCJR, BEAST, list, and sequential decoding of convolutional codes Distance properties of convolutional codes Includes a downloadable solutions manual


Fundamentals of Convolutional Coding

Fundamentals of Convolutional Coding

Author: Rolf Johannesson

Publisher: John Wiley & Sons

Published: 2015-08-03

Total Pages: 686

ISBN-13: 111909867X

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Fundamentals of Convolutional Coding, Second Edition, regarded as a bible of convolutional coding brings you a clear and comprehensive discussion of the basic principles of this field Two new chapters on low-density parity-check (LDPC) convolutional codes and iterative coding Viterbi, BCJR, BEAST, list, and sequential decoding of convolutional codes Distance properties of convolutional codes Includes a downloadable solutions manual


Fundamentals of Error-Correcting Codes

Fundamentals of Error-Correcting Codes

Author: W. Cary Huffman

Publisher: Cambridge University Press

Published: 2010-02-18

Total Pages: 668

ISBN-13: 1139439502

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Fundamentals of Error Correcting Codes is an in-depth introduction to coding theory from both an engineering and mathematical viewpoint. As well as covering classical topics, there is much coverage of techniques which could only be found in specialist journals and book publications. Numerous exercises and examples and an accessible writing style make this a lucid and effective introduction to coding theory for advanced undergraduate and graduate students, researchers and engineers, whether approaching the subject from a mathematical, engineering or computer science background.


A Practical Guide to Error-control Coding Using Matlab

A Practical Guide to Error-control Coding Using Matlab

Author: Yuan Jiang

Publisher: Artech House

Published: 2010

Total Pages: 293

ISBN-13: 1608070891

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This practical resource provides you with a comprehensive understanding of error control coding, an essential and widely applied area in modern digital communications. The goal of error control coding is to encode information in such a way that even if the channel (or storage medium) introduces errors, the receiver can correct the errors and recover the original transmitted information. This book includes the most useful modern and classic codes, including block, Reed Solomon, convolutional, turbo, and LDPC codes.You find clear guidance on code construction, decoding algorithms, and error correcting performances. Moreover, this unique book introduces computer simulations integrally to help you master key concepts. Including a companion DVD with MATLAB programs and supported with over 540 equations, this hands-on reference provides you with an in-depth treatment of a wide range of practical implementation issues.


Fundamentals of Codes, Graphs, and Iterative Decoding

Fundamentals of Codes, Graphs, and Iterative Decoding

Author: Stephen B. Wicker

Publisher: Springer Science & Business Media

Published: 2002-10-31

Total Pages: 241

ISBN-13: 1402072643

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Fundamentals of Codes, Graphs, and Iterative Decoding is an explanation of how to introduce local connectivity, and how to exploit simple structural descriptions. Chapter 1 provides an overview of Shannon theory and the basic tools of complexity theory, communication theory, and bounds on code construction. Chapters 2 - 4 provide an overview of "classical" error control coding, with an introduction to abstract algebra, and block and convolutional codes. Chapters 5 - 9 then proceed to systematically develop the key research results of the 1990s and early 2000s with an introduction to graph theory, followed by chapters on algorithms on graphs, turbo error control, low density parity check codes, and low density generator codes.


Error-Correction Coding and Decoding

Error-Correction Coding and Decoding

Author: Martin Tomlinson

Publisher: Springer

Published: 2017-02-21

Total Pages: 527

ISBN-13: 3319511033

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This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies, from smartphones to secure communications and transactions. Written in a readily understandable style, the book presents the authors’ twenty-five years of research organized into five parts: Part I is concerned with the theoretical performance attainable by using error correcting codes to achieve communications efficiency in digital communications systems. Part II explores the construction of error-correcting codes and explains the different families of codes and how they are designed. Techniques are described for producing the very best codes. Part III addresses the analysis of low-density parity-check (LDPC) codes, primarily to calculate their stopping sets and low-weight codeword spectrum which determines the performance of th ese codes. Part IV deals with decoders designed to realize optimum performance. Part V describes applications which include combined error correction and detection, public key cryptography using Goppa codes, correcting errors in passwords and watermarking. This book is a valuable resource for anyone interested in error-correcting codes and their applications, ranging from non-experts to professionals at the forefront of research in their field. This book is open access under a CC BY 4.0 license.


Codes and turbo codes

Codes and turbo codes

Author: Claude Berrou

Publisher: Springer Science & Business Media

Published: 2011-01-27

Total Pages: 400

ISBN-13: 2817800397

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This book is devoted to one of the essential functions of modern telecommunications systems: channel coding or error correction coding. Its main topic is iteratively decoded algebraic codes, convolutional codes and concatenated codes.


Principles of Digital Communication and Coding

Principles of Digital Communication and Coding

Author: Andrew J. Viterbi

Publisher: Courier Corporation

Published: 2009-01-01

Total Pages: 578

ISBN-13: 0486469018

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Written by two distinguished experts in the field of digital communications, this classic text remains a vital resource three decades after its initial publication. Its treatment is geared toward advanced students of communications theory and to designers of channels, links, terminals, modems, or networks used to transmit and receive digital messages. The three-part approach begins with the fundamentals of digital communication and block coding, including an analysis of block code ensemble performance. The second part introduces convolutional coding, exploring ensemble performance and sequential decoding. The final section addresses source coding and rate distortion theory, examining fundamental concepts for memoryless sources as well as precepts related to memory, Gaussian sources, and universal coding. Appendixes of useful information appear throughout the text, and each chapter concludes with a set of problems, the solutions to which are available online.


Fundamentals of Convolutional Coding

Fundamentals of Convolutional Coding

Author: Rolf Johannesson

Publisher: John Wiley & Sons

Published: 2015-07-07

Total Pages: 686

ISBN-13: 0470276835

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Fundamentals of Convolutional Coding, Second Edition, regarded as a bible of convolutional coding brings you a clear and comprehensive discussion of the basic principles of this field Two new chapters on low-density parity-check (LDPC) convolutional codes and iterative coding Viterbi, BCJR, BEAST, list, and sequential decoding of convolutional codes Distance properties of convolutional codes Includes a downloadable solutions manual


Fundamentals of Information Theory and Coding Design

Fundamentals of Information Theory and Coding Design

Author: Roberto Togneri

Publisher: CRC Press

Published: 2003-01-13

Total Pages: 385

ISBN-13: 0203998103

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Books on information theory and coding have proliferated over the last few years, but few succeed in covering the fundamentals without losing students in mathematical abstraction. Even fewer build the essential theoretical framework when presenting algorithms and implementation details of modern coding systems. Without abandoning the theoret