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Reduced complexity decoding strategies for LDPC convolutional codes

Pusane, Ali ; Lentmaier, Michael LU ; Zigangirov, Kamil LU and Costello Jr., Daniel J. (2004) IEEE International Symposium on Information Theory (ISIT), 2004
Abstract
While low-density parity-check (LDPC) convolutional codes tend to significantly outperform LDPC block codes with the same processor complexity, large storage requirements and a long initial decoding delay are two issues related to their continuous pipeline decoding architecture [A. Jimenez Feltstrom et al., (1999)]. In this paper, we propose reduced complexity decoding strategies to lessen the storage requirements and the initial decoding delay without significant loss in performance.
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
spatial coupling, LDPC codes, LDPC convolutional codes
host publication
[Host publication title missing]
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Symposium on Information Theory (ISIT), 2004
conference location
Chicago, IL, United States
conference dates
2004-06-27 - 2004-07-02
external identifiers
  • scopus:5044245929
ISBN
0-7803-8280-3
DOI
10.1109/ISIT.2004.1365528
language
English
LU publication?
yes
id
6b603ce2-242a-44b1-a679-f4d1a3069719 (old id 3731503)
date added to LUP
2016-04-04 11:42:49
date last changed
2022-01-29 22:20:19
@inproceedings{6b603ce2-242a-44b1-a679-f4d1a3069719,
  abstract     = {{While low-density parity-check (LDPC) convolutional codes tend to significantly outperform LDPC block codes with the same processor complexity, large storage requirements and a long initial decoding delay are two issues related to their continuous pipeline decoding architecture [A. Jimenez Feltstrom et al., (1999)]. In this paper, we propose reduced complexity decoding strategies to lessen the storage requirements and the initial decoding delay without significant loss in performance.}},
  author       = {{Pusane, Ali and Lentmaier, Michael and Zigangirov, Kamil and Costello Jr., Daniel J.}},
  booktitle    = {{[Host publication title missing]}},
  isbn         = {{0-7803-8280-3}},
  keywords     = {{spatial coupling; LDPC codes; LDPC convolutional codes}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Reduced complexity decoding strategies for LDPC convolutional codes}},
  url          = {{http://dx.doi.org/10.1109/ISIT.2004.1365528}},
  doi          = {{10.1109/ISIT.2004.1365528}},
  year         = {{2004}},
}