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Error Correction Coding: Mathematical - Hardcover, by Moon Todd K. Water Damage
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Item specifics
- Condition
- Book Title
- Error Correction Coding: Mathematical Methods and Algorithms
- ISBN
- 9780471648000
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471648000
ISBN-13
9780471648000
eBay Product ID (ePID)
44780302
Product Key Features
Number of Pages
800 Pages
Publication Name
Error Correction Coding : Mathematical Methods and Algorithms
Language
English
Publication Year
2005
Subject
Software Development & Engineering / General, Engineering (General), Information Theory
Type
Textbook
Subject Area
Computers, Technology & Engineering
Format
Hardcover
Dimensions
Item Height
1.8 in
Item Weight
56.4 Oz
Item Length
9.5 in
Item Width
7.7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2004-031019
Reviews
"...one of the best error control coding books on the market. I highly recommend it for both academic study and practical reference." ( Computing Reviews.com , January 16, 2006) "Overall this text book is well written and easy to read...comprehensive..." ( IEEE Communications Magazine, April 2007) , "?one of the best error control coding books on the market. Ihighly recommend it for both academic study and practicalreference." ( Computing Reviews.com , January 16, 2006) "Overall this text book is well written and easy toread?comprehensive?" ( IEEE CommunicationsMagazine, April 2007)
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
621.382/0285/572
Table Of Content
Preface vii List of Program Files xxxi List of Laboratory Exercises xxxii List of Algorithms xxxiv List of Figures xl List of Tables xlii List of Boxes xliii Part I: Introduction and Foundations 1 1 A Context for Error Correction Coding 2 Part II: Block Codes 61 2 Groups and Vector Spaces 62 3 Linear Block Codes 83 4 Cyclic Codes, Rings, and Polynomials 113 5 Rudiments of Number Theory and Algebra 171 6 BCH and Reed-Solomon Codes: Designer Cyclic Codes 235 7 Alternate Decoding Algorithms for Reed-Solomon Codes 293 8 Other Important Block Codes 369 9 Bounds on Codes 406 10 Bursty Channels, Interleavers, and Concatenation 425 11 Soft-Decision Decoding Algorithms 439 Part III: Codes on Graphs 451 12 Convolutional Codes 452 13 Trellis Coded Modulation 535 Part IV: Iteratively Decoded Codes 581 14 Turbo Codes 582 15 Low-Density Parity-Check Codes 634 16 Decoding Algorithms on Graphs 680 Part V: Space-Time Coding 709 17 Fading Channels and Space-Time Codes 710 A Log Likelihood Algebra 735 References 739 Index 750
Synopsis
An unparalleled learning tool and guide to error correction coding Error correction coding techniques allow the detection and correction of errors occurring during the transmission of data in digital communication systems. These techniques are nearly universally employed in modern communication systems, and are thus an important component of the modern information economy. Error Correction Coding: Mathematical Methods and Algorithms provides a comprehensive introduction to both the theoretical and practical aspects of error correction coding, with a presentation suitable for a wide variety of audiences, including graduate students in electrical engineering, mathematics, or computer science. The pedagogy is arranged so that the mathematical concepts are presented incrementally, followed immediately by applications to coding. A large number of exercises expand and deepen students understanding. A unique feature of the book is a set of programming laboratories, supplemented with over 250 programs and functions on an associated Web site, which provides hands-on experience and a better understanding of the material. These laboratories lead students through the implementation and evaluation of Hamming codes, CRC codes, BCH and R-S codes, convolutional codes, turbo codes, and LDPC codes. This text offers both "classical" coding theory--such as Hamming, BCH, Reed-Solomon, Reed-Muller, and convolutional codes--as well as modern codes and decoding methods, including turbo codes, LDPC codes, repeat-accumulate codes, space time codes, factor graphs, soft-decision decoding, Guruswami-Sudan decoding, EXIT charts, and iterative decoding. Theoretical complements on performance and bounds are presented. Coding is also put into its communications and information theoretic context and connections are drawn to public key cryptosystems. Ideal as a classroom resource and a professional reference, this thorough guide will benefit electrical and computer engineers, mathematicians, students, researchers, and scientists., An unparalleled learning tool and guide to error correction coding Error correction coding techniques allow the detection and correction of errors occurring during the transmission of data in digital communication systems. These techniques are nearly universally employed in modern communication systems, and are thus an important component of the modern information economy. Error Correction Coding: Mathematical Methods and Algorithms provides a comprehensive introduction to both the theoretical and practical aspects of error correction coding, with a presentation suitable for a wide variety of audiences, including graduate students in electrical engineering, mathematics, or computer science. The pedagogy is arranged so that the mathematical concepts are presented incrementally, followed immediately by applications to coding. A large number of exercises expand and deepen students' understanding. A unique feature of the book is a set of programming laboratories, supplemented with over 250 programs and functions on an associated Web site, which provides hands-on experience and a better understanding of the material. These laboratories lead students through the implementation and evaluation of Hamming codes, CRC codes, BCH and R-S codes, convolutional codes, turbo codes, and LDPC codes. This text offers both "classical" coding theory-such as Hamming, BCH, Reed-Solomon, Reed-Muller, and convolutional codes-as well as modern codes and decoding methods, including turbo codes, LDPC codes, repeat-accumulate codes, space time codes, factor graphs, soft-decision decoding, Guruswami-Sudan decoding, EXIT charts, and iterative decoding. Theoretical complements on performance and bounds are presented. Coding is also put into its communications and information theoretic context and connections are drawn to public key cryptosystems. Ideal as a classroom resource and a professional reference, this thorough guide will benefit electrical and computer engineers, mathematicians, students, researchers, and scientists., An unparalleled learning tool and guide to error correction coding Error correction coding techniques allow the detection and correction of errors occurring during the transmission of data in digital communication systems. These techniques are nearly universally employed in modern communication systems, and are thus an important component of the modern information economy. Error Correction Coding: Mathematical Methods and Algorithms provides a comprehensive introduction to both the theoretical and practical aspects of error correction coding, with a presentation suitable for a wide variety of audiences, including graduate students in electrical engineering, mathematics, or computer science. The pedagogy is arranged so that the mathematical concepts are presented incrementally, followed immediately by applications to coding. A large number of exercises expand and deepen students' understanding. A unique feature of the book is a set of programming laboratories, supplemented with over 250 programs and functions on an associated Web site, which provides hands-on experience and a better understanding of the material. These laboratories lead students through the implementation and evaluation of Hamming codes, CRC codes, BCH and R-S codes, convolutional codes, turbo codes, and LDPC codes. This text offers both classical coding theory-such as Hamming, BCH, Reed-Solomon, Reed-Muller, and convolutional codes-as well as modern codes and decoding methods, including turbo codes, LDPC codes, repeat-accumulate codes, space time codes, factor graphs, soft-decision decoding, Guruswami-Sudan decoding, EXIT charts, and iterative decoding. Theoretical complements on performance and bounds are presented. Coding is also put into its communications and information theoretic context and connections are drawn to public key cryptosystems. Ideal as a classroom resource and a professional reference, this thorough guide will benefit electrical and computer engineers, mathematicians, students, researchers, and scientists., Error Control Coding (EEC) is the detection and correction of errors in the message transmission in a digital communications system by codes inserted in a data stream which are everywhere, from the Internet to compact disk and CD-ROMs, to cell phones and wireless connections.
LC Classification Number
TA331.M66 2005
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