Error control coding : from theory to practice 59 Euros - Error
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-047084356X,descCd-tableOfContents.html

Editeur Wiley
Auteur(s) : SWEENEY Peter
Date de parution: 04-2002
Langue : ANGLAIS
242p. 17x25
Etat : Disponible (délai d'expédition : 10 jours)

Table des matières 
THE PRINCIPLES OF CODING IN DIGITAL COMMUNICATIONS 
CONVOLUTIONAL CODES 
LINEAR BLOCK CODES 
CYCLIC CODES 
FINITE FIELD ARITHMETIC 
BCH CODES 
REED SOLOMON CODES 
PERFORMANCE CALCULATIONS FOR BLOCK CODES 
MULTISTAGE CODING 
ITERATIVE DECODING 

Résumé 
Error control coding techniques are used to detect and/or correct errors that 
occur in the message transmission in a digital communications system Reader-friendly 
approach provides examples of encoding and decoding, information theory, and the 
criteria for code selection Thorough descriptions of relevant applications, including 
telephony on satellite links, GSM, UMTS and multimedia standards, CD, DVD, and MPEG 
Covers the fundamentals of coding and the applications of codes to the design of real 
error control systems 

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Error control coding, (2nd Ed.)  58 Euros

Auteur(s) : COSTELLO Daniel, LIN Shu
Date de parution: 03-2004
Langue : ANGLAIS
800p.
Etat : Disponible (délai d'expédition : 12 jours)

Résumé 
A reorganized and comprehensive major revision of a classic textbook. This text provides 
a bridge between introductory courses in digital communications and more advanced courses 
in information theory. 

Sommaire 
1. Error Control Coding. 
2. Introduction to Algebra. 
3. Linear Block Codes. 
4. Important Linear Block Codes. 
5. Cyclic Codes. 
6. Binary BCH Codes. 
7. Nonbinary BCH Codes, Reed-Solomon Codes, and Decoding Algorithms. 
8. Majority-Logic Decoding and Majority-Logic Decodable Codes. 
9. Trellises for Linear Block Codes. 
10. Interleaving, Product, Concatenation and Code Decomposition. 
11. Reliability-based Soft-Decision Decoding Algorithms for Linear Block Codes. 
12. Convolutional Codes. 
13. Trellis-Based Decoding Algorithms for Convolutional Codes. 
14. Sequential and Threshold Decoding of Convolutional Codes. 
15. Trellis-Based Soft-Decision Algorithms for Linear Block Codes. 
16. Turbo Coding. 17. Trellis Coded Modulation. 18. Block Coded Modulation. 
19. Burst-Error-Correcting Codes. 

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The art of error correcting coding 81 Euros :: pdf dispo

Auteur(s) : MORELOS-ZARAGOZA Robert
Date de parution: 05-2002
Langue : ANGLAIS
220p. 17x25
Etat : Disponible (délai d'expédition : 10 jours)

Résumé 
This book provides a comprehensive coverage of the basic techniques of error 
concealment. It addresses the need for selecting, implementing and simulating 
algorithms for the encoding and decoding of codes used for error correction and 
detection. This practical approach uses simple and easy to follow numerical 
examples to describe the basic concepts of a particular coding or decoding scheme. 
Basic analysis tools are provided throughout to help in the assessment of the error 
performance block and convolutional codes of a particular Error Correcting Coding 
(ECC) scheme for a selection of the basic channel models. 

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Error coding for engineers

Auteur(s) : HOUGHTON 
Date de parution: 09-2001
Langue : ANGLAIS
256p.
Etat : Disponible (délai d'expédition : 10 jours)

Table des matières 
Preface. 1. Introduction. 2. A Little Maths. 3. Error Detection. 4. Error Correction 
by Parity. 5. Error Correction Using the CRC. 6. Reed-Muller Codes. 7. Reed-Solomon 
Codes. 8. Augmenting Error Coding. 9. Convolutional Coding. 10. Hardware. 11. Bit Error 
Rates. 12. Exercises. Appendices. Index. 

Résumé 
Error Coding for Engineers provides a useful tool for practicing engineers, students, 
and researchers, focusing on the applied rather than the theoretical. It describes the 
processes involved in coding messages in such a way that, if errors occur during 
transmission or storage, they are detected and, if necessary, corrected. Very little 
knowledge beyond a basic understanding of binary manipulation and Boolean algebra is 
assumed, making the subject accessible to a broad readership including non-specialists. 
The approach is tutorial: numerous examples, illustrations, and tables are included, 
along with over 30 pages of hands-on exercises and solutions. Error coding is essential 
in many modern engineering applications. Engineers involved in communications design, 
DSP-based applications, IC design, protocol design, storage solutions, and memory 
product design are among those who will find the book to be a valuable reference. 
Error Coding for Engineers is also suitable as a text for basic and advanced university 
courses in communications and engineering. 

Sommaire 
Preface. 
1. Introduction. 
2. A Little Maths. 
3. Error Detection. 
4. Error Correction by Parity. 
5. Error Correction Using the CRC. 
6. Reed-Muller Codes. 
7. Reed-Solomon Codes. 
8. Augmenting Error Coding. 
9. Convolutional Coding. 
10. Hardware. 
11. Bit Error Rates. 
12. Exercises. 
Appendices. 
Index.

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Fundamentals of error-correcting codes 104 Euros
http://assets.cambridge.org//052178/2805/sample/0521782805ws.pdf

Auteur(s) : HUFFMAN W. Cary, PLESS Vera
Date de parution: 07-2003
Langue : ANGLAIS
850p. 17x25
Etat : Disponible (délai d'expédition : 15 jours)

Résumé 
This book is an in-depth introduction to coding theory from both an engineering 
and mathematical viewpoint. As well as covering classical topics, much coverage 
is included of recent techniques which until now 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. 

Sommaire 
Basic concepts of linear codes. 
Bounds on size of codes. 
Finite fields. 
Cyclic codes. 
BCH and Reed-Soloman codes. 
Duadic codes. 
Weight distributions. 
Designs. 
Self-dual codes. 
Some favourite self-dual codes. 
Covering radius and cosets. 
Codes over Z4. 
Codes from algebraic geometry. 
Convolutional codes. 
Soft decision and iterative decoding. 
Bibliography. 
Index.