1,046 research outputs found
Improved linear programming decoding of LDPC codes and bounds on the minimum and fractional distance
We examine LDPC codes decoded using linear programming (LP). Four
contributions to the LP framework are presented. First, a new method of
tightening the LP relaxation, and thus improving the LP decoder, is proposed.
Second, we present an algorithm which calculates a lower bound on the minimum
distance of a specific code. This algorithm exhibits complexity which scales
quadratically with the block length. Third, we propose a method to obtain a
tight lower bound on the fractional distance, also with quadratic complexity,
and thus less than previously-existing methods. Finally, we show how the
fundamental LP polytope for generalized LDPC codes and nonbinary LDPC codes can
be obtained.Comment: 17 pages, 8 figures, Submitted to IEEE Transactions on Information
Theor
Proving Threshold Saturation for Nonbinary SC-LDPC Codes on the Binary Erasure Channel
We analyze nonbinary spatially-coupled low-density parity-check (SC-LDPC)
codes built on the general linear group for transmission over the binary
erasure channel. We prove threshold saturation of the belief propagation
decoding to the potential threshold, by generalizing the proof technique based
on potential functions recently introduced by Yedla et al.. The existence of
the potential function is also discussed for a vector sparse system in the
general case, and some existence conditions are developed. We finally give
density evolution and simulation results for several nonbinary SC-LDPC code
ensembles.Comment: in Proc. 2014 XXXIth URSI General Assembly and Scientific Symposium,
URSI GASS, Beijing, China, August 16-23, 2014. Invited pape
Polar Coding for Achieving the Capacity of Marginal Channels in Nonbinary-Input Setting
Achieving information-theoretic security using explicit coding scheme in
which unlimited computational power for eavesdropper is assumed, is one of the
main topics is security consideration. It is shown that polar codes are
capacity achieving codes and have a low complexity in encoding and decoding. It
has been proven that polar codes reach to secrecy capacity in the binary-input
wiretap channels in symmetric settings for which the wiretapper's channel is
degraded with respect to the main channel. The first task of this paper is to
propose a coding scheme to achieve secrecy capacity in asymmetric
nonbinary-input channels while keeping reliability and security conditions
satisfied. Our assumption is that the wiretap channel is stochastically
degraded with respect to the main channel and message distribution is
unspecified. The main idea is to send information set over good channels for
Bob and bad channels for Eve and send random symbols for channels that are good
for both. In this scheme the frozen vector is defined over all possible choices
using polar codes ensemble concept. We proved that there exists a frozen vector
for which the coding scheme satisfies reliability and security conditions. It
is further shown that uniform distribution of the message is the necessary
condition for achieving secrecy capacity.Comment: Accepted to be published in "51th Conference on Information Sciences
and Systems", Baltimore, Marylan
Semidefinite programming bounds for Lee codes
For , let denote the maximum cardinality
of a code with minimum Lee distance at least ,
where denotes the cyclic group of order . We consider a
semidefinite programming bound based on triples of codewords, which bound can
be computed efficiently using symmetry reductions, resulting in several new
upper bounds on . The technique also yields an upper bound on the
independent set number of the -th strong product power of the circular graph
, which number is related to the Shannon capacity of . Here
is the graph with vertex set , in which two vertices
are adjacent if and only if their distance (mod ) is strictly less than .
The new bound does not seem to improve significantly over the bound obtained
from Lov\'asz theta-function, except for very small .Comment: 14 pages. arXiv admin note: text overlap with arXiv:1703.0517
Semidefinite bounds for nonbinary codes based on quadruples
For nonnegative integers , let denote the maximum
cardinality of a code of length over an alphabet with letters and
with minimum distance at least . We consider the following upper bound on
. For any , let \CC_k be the collection of codes of cardinality
at most . Then is at most the maximum value of
, where is a function \CC_4\to R_+ such that
and if has minimum distance less than , and
such that the \CC_2\times\CC_2 matrix (x(C\cup C'))_{C,C'\in\CC_2} is
positive semidefinite. By the symmetry of the problem, we can apply
representation theory to reduce the problem to a semidefinite programming
problem with order bounded by a polynomial in . It yields the new upper
bounds , , , and
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