Reduced complexity decoding strategies for LDPC convolutional codes
(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:
https://lup.lub.lu.se/record/3731503
- author
- Pusane, Ali ; Lentmaier, Michael LU ; Zigangirov, Kamil LU and Costello Jr., Daniel J.
- organization
- publishing date
- 2004
- 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}}, }