Advanced

Unequal error protection explained by state-transition graphs

Pavlushkov, Victor LU ; Johannesson, Rolf LU and Zyablov, V (2005) IEEE International Symposium on Information Theory (ISIT), 2005 In 2005 IEEE International Symposium on Information Theory (ISIT) p.2236-2240
Abstract
In this paper unequal error-correcting capabilities of convolutional codes are studied. State-transition graphs are used for investigating the error-correcting capabilities for specific inputs or outputs of given convolutional encoding matrices. Active burst input- and output-distances are defined and shown to be generalizations of the active burst distance. These new distances provide better estimates of the error-correction capability, especially when we communicate close to or above the channel capacity and they are connected to the corresponding free input- and output-distances via lower bounds
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
keywords
active burst input-distance, convolutional encoding matrices, convolutional codes, unequal error-correcting capability, unequal error protection, state-transition graphs, channel capacity, active burst output-distance, lower bounds
in
2005 IEEE International Symposium on Information Theory (ISIT)
pages
2236 - 2240
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Symposium on Information Theory (ISIT), 2005
external identifiers
  • WOS:000234713801214
  • Scopus:33749433221
ISBN
0-7803-9150-0
DOI
10.1109/ISIT.2005.1523745
language
English
LU publication?
yes
id
2bffd7cd-a501-4261-8118-6a4eef7d7725 (old id 616245)
date added to LUP
2007-11-25 15:49:10
date last changed
2016-10-13 04:38:43
@misc{2bffd7cd-a501-4261-8118-6a4eef7d7725,
  abstract     = {In this paper unequal error-correcting capabilities of convolutional codes are studied. State-transition graphs are used for investigating the error-correcting capabilities for specific inputs or outputs of given convolutional encoding matrices. Active burst input- and output-distances are defined and shown to be generalizations of the active burst distance. These new distances provide better estimates of the error-correction capability, especially when we communicate close to or above the channel capacity and they are connected to the corresponding free input- and output-distances via lower bounds},
  author       = {Pavlushkov, Victor and Johannesson, Rolf and Zyablov, V},
  isbn         = {0-7803-9150-0},
  keyword      = {active burst input-distance,convolutional encoding matrices,convolutional codes,unequal error-correcting capability,unequal error protection,state-transition graphs,channel capacity,active burst output-distance,lower bounds},
  language     = {eng},
  pages        = {2236--2240},
  publisher    = {ARRAY(0xbaa2140)},
  series       = {2005 IEEE International Symposium on Information Theory (ISIT)},
  title        = {Unequal error protection explained by state-transition graphs},
  url          = {http://dx.doi.org/10.1109/ISIT.2005.1523745},
  year         = {2005},
}