Abstract

The trellis complexity s(C) of a block code C is defined as the logarithm of the maximum number of states in the minimal trellis realization of the code. The parameter s(C) governs the complexity of maximum-likelihood decoding, and is considered a fundamental descriptive characteristic of the code in a number of recent works. We derive a new lower bound on s(C) which implies that asymptotically good codes have infinite trellis complexity. More precisely, for i/spl ges/1 let C/sub i/ be a code over an alphabet of size q, of length n/sub i/, rate R/sub i/, and minimum distance d/sub i/. The infinite sequence of codes C/sub ,/ C/sub 2spl middotspl middotspl middot/ such that n/sub ispl rarrspl infin/ when i/spl rarrspl infin/ is said to be asymptotically good if both R/sub i/ and d/sub in/sub i/ are bounded away from zero as i/spl rarrspl infin/. We prove that the complexity s(C/sub i/) increases linearly with n/sub i/ in any asymptotically good sequence of codes.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Keywords

MathematicsTrellis (graph)Discrete mathematicsUpper and lower boundsLogarithmDecoding methodsAsymptotically optimal algorithmBounded functionCombinatoricsCode (set theory)Sequence (biology)Realization (probability)Block codeAlgorithmStatisticsComputer science

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Publication Info

Year
1995
Type
article
Volume
41
Issue
2
Pages
555-559
Citations
44
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A. Lafourcade, Alexander Vardy (1995). Asymptotically good codes have infinite trellis complexity. IEEE Transactions on Information Theory , 41 (2) , 555-559. https://doi.org/10.1109/18.370171

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DOI
10.1109/18.370171