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Article . 2002
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IEEE Transactions on Information Theory
Article . 2002 . Peer-reviewed
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Article
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DBLP
Article . 2002
Data sources: DBLP
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Coding theorems for turbo code ensembles

Authors: Jin, Hui; McEliece, Robert J.;

Coding theorems for turbo code ensembles

Abstract

Summary: This paper is devoted to a Shannon-theoretic study of turbo codes. We prove that ensembles of parallel and serial turbo codes are good in the following sense. For a turbo code ensemble defined by a fixed set of component codes (subject only to mild necessary restrictions), there exists a positive number \(\gamma_0\) such that for any binary-input memoryless channel whose Bhattacharyya noise parameter is less than \(\gamma_0\), the average maximum-likelihood (ML) decoder block error probability approaches zero, at least as fast as \(n^{-\beta}\), where \(\beta\) is the ``interleaver gain'' exponent defined by Benedetto et al. in 1996.

Country
United States
Related Organizations
Keywords

union bound, Decoding, Channel models (including quantum) in information and communication theory, maximum-likelihood decoding (MLD), 004, 620, turbo codes, Coding theorems (Shannon theory), Bhattacharyya parameter, coding theorems, maximum-likelihood decoding (MLD), turbo codes, union bound, Bhattacharyya parameter, coding theorems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
58
Top 10%
Top 1%
Top 10%
Green
bronze