Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

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 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
; and
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
host publication
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
conference location
Adelaide, Australia
conference dates
2005-09-04 - 2005-09-09
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
2016-04-04 10:12:42
date last changed
2025-10-14 10:58:15
@inproceedings{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}},
  booktitle    = {{2005 IEEE International Symposium on Information Theory (ISIT)}},
  isbn         = {{0-7803-9150-0}},
  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}},
  language     = {{eng}},
  pages        = {{2236--2240}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Unequal error protection explained by state-transition graphs}},
  url          = {{http://dx.doi.org/10.1109/ISIT.2005.1523745}},
  doi          = {{10.1109/ISIT.2005.1523745}},
  year         = {{2005}},
}