Advanced

Asymptotic performance of woven graph codes

Bocharova, Irina LU ; Kudryashov, Boris LU ; Johannesson, Rolf LU and Zyablov, Victor (2008) IEEE International Symposium on Information Theory, 2008 In [Host publication title missing] p.1025-1029
Abstract
Constructions of woven graph codes based on constituent block and convolutional codes are studied. It is shown that within the random ensemble of such codes based on s-partite, s-uniform hypergraphs, where s depends only on the code rate, there exist codes satisying the Varshamov-Gilbert (VG) and the Costello lower bound on the minimum distance and the free distance, respectively.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
pages
1025 - 1029
conference name
IEEE International Symposium on Information Theory, 2008
external identifiers
  • Scopus:52349108396
ISBN
978-1-4244-2256-2
DOI
10.1109/ISIT.2008.4595142
language
English
LU publication?
yes
id
6f00fd39-980d-448c-91b0-7759640ab79a (old id 1219171)
date added to LUP
2008-08-27 09:21:00
date last changed
2016-10-13 04:59:06
@misc{6f00fd39-980d-448c-91b0-7759640ab79a,
  abstract     = {Constructions of woven graph codes based on constituent block and convolutional codes are studied. It is shown that within the random ensemble of such codes based on s-partite, s-uniform hypergraphs, where s depends only on the code rate, there exist codes satisying the Varshamov-Gilbert (VG) and the Costello lower bound on the minimum distance and the free distance, respectively.},
  author       = {Bocharova, Irina and Kudryashov, Boris and Johannesson, Rolf and Zyablov, Victor},
  isbn         = {978-1-4244-2256-2},
  language     = {eng},
  pages        = {1025--1029},
  series       = {[Host publication title missing]},
  title        = {Asymptotic performance of woven graph codes},
  url          = {http://dx.doi.org/10.1109/ISIT.2008.4595142},
  year         = {2008},
}