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11 papers
Coding Theory
Almost disjunctive list-decoding codes
A. G. D'yachkov,
I. V. Vorob'ev,
N. A. Polyansky,
V. Yu. Shchukin Probability Theory Chair, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Moscow, Russia
Abstract:
We say that an
$s$-subset of codewords of a binary code
$X$ is
$s_L$-bad in
$X$ if there exists an
$L$-subset of other codewords in
$X$ whose disjunctive sum is covered by the disjunctive sum of the given
$s$ codewords. Otherwise, this
$s$-subset of codewords is said to be
$s_L$-good in
$X$. A binary code
$X$ is said to be a list-decoding disjunctive code of strength
$s$ and list size
$L$ (an
$s_L$-LD code) if it does not contain
$s_L$-bad subsets of codewords. We consider a
probabilistic generalization of
$s_L$-LD codes; namely, we say that a code
$X$ is an
almost disjunctive $s_L$-LD code if the
fraction of
$s_L$-good subsets of codewords in
$X$ is close to 1. Using the random coding method on the ensemble of binary constant-weight codes, we establish lower bounds on the capacity and error exponent of almost disjunctive
$s_L$-LD codes. For this ensemble, the obtained lower bounds are tight and show that the capacity of almost disjunctive
$s_L$-LD codes is greater than the zero-error capacity of disjunctive
$s_L$-LD codes.
UDC:
621.391.15
Received: 16.09.2014
Revised: 28.01.2015