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IEEE Transactions on Information Theory
Article . 2000 . Peer-reviewed
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Two-dimensional weight-constrained codes through enumeration bounds

Authors: Erik Ordentlich; Ron M. Roth;

Two-dimensional weight-constrained codes through enumeration bounds

Abstract

Summary: For a rational \(\alpha\in (0,1)\), let \({\mathcal A}_{n\times m,\alpha}\) be the set of binary \(n\times m\) arrays in which each row has Hamming weight \(\alpha m\) and each column has Hamming weight \(\alpha n\), where \(\alpha m\) and \(\alpha n\) are integers. (The special case of two-dimensional balanced arrays corresponds to \(\alpha= 1/2\) and even values for \(n\) and \(m\).) The redundancy of \({\mathcal A}_{n\times m,\alpha}\) is defined by \[ \rho_{n\times m,\alpha}= nmH(\alpha)- \log_2|{\mathcal A}_{n\times m,\alpha}|, \] where \(H(x)=- x\log_2 x-(1- x)\log_2(1- x)\). Bounds on \(\rho_{n\times m,\alpha}\) are obtained in terms of the redundancies of the sets \({\mathcal A}_{\ell,\alpha}\) of all binary \(\ell\)-vectors with Hamming weight \(\alpha\ell\), \(\ell\in \{n,m\}\). Specifically, it is shown that \[ \rho_{n\times m,\alpha}\leq n\rho_{m,\alpha}+ m\rho_{n,\alpha}, \] where \(\rho_{\ell,\alpha}= \ell H(\alpha)- \log_2|{\mathcal A}_{\ell,\alpha}|\) and that this bound is tight up to an additive term \(O(n+ \log m)\). A polynomial-time coding algorithm is presented that maps unconstrained input sequences into \({\mathcal A}_{n\times m,\alpha}\) at a rate \(H(\alpha)-(\rho_{m,\alpha}/m)\).

Keywords

Prefix, length-variable, comma-free codes, redundancy, Other types of codes, weight-constrained codes, two-dimensional coding, Source coding, balanced codes, enumerative coding, coding algorithm, enumeration bounds

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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!
28
Top 10%
Top 10%
Average
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