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Titlebook: Error-Control Coding for Data Networks; Irving S. Reed,Xuemin Chen Book 1999 Springer Science+Business Media New York 1999 Augmented Reali

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書目名稱Error-Control Coding for Data Networks
編輯Irving S. Reed,Xuemin Chen
視頻videohttp://file.papertrans.cn/315/314933/314933.mp4
概述Request lecturer material:
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Error-Control Coding for Data Networks;  Irving S. Reed,Xuemin Chen Book 1999 Springer Science+Business Media New York 1999 Augmented Reali
描述The purpose of Error-Control Coding for Data Networks is to provide an accessible and comprehensive overview of the fundamental techniques and practical applications of the error-control coding needed by students and engineers. An additional purpose of the book is to acquaint the reader with the analytical techniques used to design an error-control coding system for many new applications in data networks. Error~control coding is a field in which elegant theory was motivated by practical problems so that it often leads to important useful advances. Claude Shannon in 1948 proved the existence of error-control codes that, under suitable conditions and at rates less than channel capacity, would transmit error-free information for all practical applications. The first practical binary codes were introduced by Richard Hamming and Marcel Golay from which the drama and excitement have infused researchers and engineers in digital communication and error-control coding for more than fifty years. Nowadays, error-control codes are being used in almost all modem digital electronic systems and data networks. Not only is coding equipment being implemented to increase the energy and bandwidth effi
出版日期Book 1999
關(guān)鍵詞Augmented Reality; Bridge; DVD; Digital Video; Modulation; algorithms; architectures; communication; communi
版次1
doihttps://doi.org/10.1007/978-1-4615-5005-1
isbn_softcover978-1-4613-7273-8
isbn_ebook978-1-4615-5005-1Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1999
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Linear Cyclic Codes,coding processes when the value of . is large. To illustrate for standard-array decoding of an (.) binary linear code requires the storage of 2. cosets and 2. words each of . bits, e.g. for the (32,6) binary linear code the storage to 2. × 32 = 2. × 8 ≈ 6.. To reduce this complexity, syndrome decodi
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BCH Codes,59 [2]. These codes are known as the BCH codes. The BCH codes provide a wide variety of block lengths and corresponding code rates. They are important not only because of their flexibility in the choice of their code parameters, but also because, at block lengths of a few hundred or less, many of th
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Reed-Solomon Codes,ory [1]. In 1960, a slight modification of this report was published as a paper [2] in the Journal of the Society for Industrial and Applied Mathematics(SIAM). This five-page paper described a new class of error-correcting codes that now are called Reed-Solomon(RS) codes. In the decades since their
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Concatenated Coding Systems and Turbo Codes,could be made to decrease exponentially at all rates less than channel capacity while the decoding complexity increased only algebraically. Thus the discovery of such codes would make it possible to achieve an exponential tradeoff of performance vs. complexity.
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