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Titlebook: Constrained Coding and Soft Iterative Decoding; John L. Fan Book 2001 Springer Science+Business Media New York 2001 Natur.Potential.algori

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書(shū)目名稱Constrained Coding and Soft Iterative Decoding
編輯John L. Fan
視頻videohttp://file.papertrans.cn/236/235909/235909.mp4
叢書(shū)名稱The Springer International Series in Engineering and Computer Science
圖書(shū)封面Titlebook: Constrained Coding and Soft Iterative Decoding;  John L. Fan Book 2001 Springer Science+Business Media New York 2001 Natur.Potential.algori
描述.Constrained Coding and Soft Iterative Decoding. is thefirst work to combine the issues of constrained coding and softiterative decoding (e.g., turbo and LDPC codes) from a unified pointof view. Since constrained coding is widely used in magnetic andoptical storage, it is necessary to use some special techniques(modified concatenation scheme or bit insertion) in order to applysoft iterative decoding. .Recent breakthroughs in the design and decoding of error-control codes(ECCs) show significant potential for improving the performance ofmany communications systems. ECCs such as turbo codes and low-densityparity check (LDPC) codes can be represented by graphs and decoded bypassing probabilistic (a.k.a. `soft‘) messages along the edges of thegraph. This .message-passing algorithm. yields powerful decoderswhose performance can approach the theoretical limits on capacity.This exposition uses `normal graphs,‘ introduced by Forney, whichextend in a natural manner to block diagram representations of thesystem and provide a simple unified framework for the decoding ofECCs, constrained codes, and channels with memory. Soft iterativedecoding is illustrated by the application of turbo codes and
出版日期Book 2001
關(guān)鍵詞Natur; Potential; algorithms; communication; design; system; tables
版次1
doihttps://doi.org/10.1007/978-1-4615-1525-8
isbn_softcover978-1-4613-5597-7
isbn_ebook978-1-4615-1525-8Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 2001
The information of publication is updating

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沙發(fā)
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Message-Passing Algorithm, Section 1. sets up the preliminaries for soft iterative decoding. Section 2. explains the message-passing algorithm using normal graphs. Section 3. presents some basic nodes and modules. Section 4. introduces LPDC codes and discusses their decoding algorithm.
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Application to Magnetic Storage,candidate for the early adoption of advanced coding techniques. In particular, unlike communications systems that are based on standards, each hard disk drive can use its own proprietary coding scheme.
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Message-Passing Algorithm, Section 1. sets up the preliminaries for soft iterative decoding. Section 2. explains the message-passing algorithm using normal graphs. Section 3. presents some basic nodes and modules. Section 4. introduces LPDC codes and discusses their decoding algorithm.
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發(fā)表于 2025-3-23 08:34:47 | 只看該作者
Forward-Backward Algorithm,essages flow in both directions along a linear graph. This algorithm can be used for the decoding of channels with memory and convolutional codes. Section 2. describes some common configurations for turbo decoding.
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