MOMENTAN AUSVERKAUFT
Über dieses Produkt
Product Identifiers
PublisherSpringer
ISBN-101402072643
ISBN-139781402072642
eBay Product ID (ePID)2371921
Product Key Features
Number of PagesXix, 224 Pages
Publication NameFundamentals of Codes, Graphs, and Iterative Decoding
LanguageEnglish
Publication Year2002
SubjectInformation Theory, Electrical
TypeTextbook
AuthorStephen B. Wicker, Saejoon Kim
Subject AreaComputers, Technology & Engineering
SeriesThe Springer International Series in Engineering and Computer Science Ser.
FormatHardcover
Dimensions
Item Weight41.6 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2002-190807
Dewey Edition21
Series Volume Number714
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal003/.54
Table Of ContentDigital Communication.- Abstract Algebra.- Linear Block Codes.- Convolutional and Concatenated Codes.- Elements of Graph Theory.- Algorithms on Graphs.- Turbo Decoding.- Low-Density Parity-Check Codes.- Low-Density Generator Codes.
SynopsisFundamentals 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., Fundamentals of Codes, Graphs, and Iterative Decoding contains need-to-know information for both professionals and academicians working in the field of communications. Fifty years of learning how to design good codes can now be reduced to a single sentence: Good codes have a high degree of local connectivity, but must have simple structural descriptions to facilitate iterative decoding. 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. Fundamentals of Codes, Graphs, and Iterative Decoding is intended as a synthesis of recent research results with a recognition of where these results fit into the bigger picture of error control coding. Containing hundreds of theorems, proofs, and definitions, Fundamentals of Codes, Graphs, and Iterative Decoding is suitable for a graduate-level course in communications, as well as for a professional reference.
LC Classification NumberTK1-9971
