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Titlebook: Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes; Shu Lin,Tadao Kasami,Marc Fossorier Book 1998 Springer Science+Bus

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書目名稱Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes
編輯Shu Lin,Tadao Kasami,Marc Fossorier
視頻videohttp://file.papertrans.cn/930/929865/929865.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes;  Shu Lin,Tadao Kasami,Marc Fossorier Book 1998 Springer Science+Bus
描述As the demand for data reliability increases, coding for errorcontrol becomes increasingly important in data transmission systemsand has become an integral part of almost all data communicationsystem designs. In recent years, various trellis-based soft-decodingalgorithms for linear block codes have been devised. New ideasdeveloped in the study of trellis structure of block codes can be usedfor improving decoding and analyzing the trellis complexity ofconvolutional codes. These recent developments provide practicingcommunication engineers with more choices when designing error controlsystems. ..Trellises and Trellis-based Decoding Algorithms for Linear BlockCodes. combines trellises and trellis-based decoding algorithms forlinear codes together in a simple and unified form. The approach is toexplain the material in an easily understood manner with minimalmathematical rigor. ..Trellises and Trellis-based Decoding Algorithms for Linear BlockCodes. is intended for practicing communication engineers who wantto have a fast grasp and understanding of the subject. Only materialconsidered essential and useful for practical applications isincluded. This book can also be used as a text for ad
出版日期Book 1998
關(guān)鍵詞Mathematica; algorithm; algorithms; coding; communication; communication system; complexity; data transmiss
版次1
doihttps://doi.org/10.1007/978-1-4615-5745-6
isbn_softcover978-1-4613-7632-3
isbn_ebook978-1-4615-5745-6Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1998
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