Nested convolutional codes and their application to woven codes
(2004) In IEEE Transactions on Information Theory 50(2). p.380-384- Abstract
- Nested convolutional codes are a set of convolutional codes that is derived from a given generator matrix. The structural properties of nested convolutional codes and nested generator matrices are studied. A method to construct the set of all minimal (rational) generator matrices of a given convolutional code is presented. As an example, two different sets of nested convolutional codes are derived from two equivalent minimal generator matrices. The significant difference in their free-distance profiles emphasizes the importance of being careful when selecting the generator matrices that determine the nested convolutional codes. As an application of nested convolutional codes, woven codes with outer warp, and inner nested convolutional... (More)
- Nested convolutional codes are a set of convolutional codes that is derived from a given generator matrix. The structural properties of nested convolutional codes and nested generator matrices are studied. A method to construct the set of all minimal (rational) generator matrices of a given convolutional code is presented. As an example, two different sets of nested convolutional codes are derived from two equivalent minimal generator matrices. The significant difference in their free-distance profiles emphasizes the importance of being careful when selecting the generator matrices that determine the nested convolutional codes. As an application of nested convolutional codes, woven codes with outer warp, and inner nested convolutional codes are considered. The free-distance profile of the inner generator matrix is shown to be an important design tool. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/287115
- author
- Jordan, R ; Johannesson, Rolf LU and Bossert, M
- organization
- publishing date
- 2004
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- woven convolutional code, convolutional code, nested, minimal generator matrix, free distance
- in
- IEEE Transactions on Information Theory
- volume
- 50
- issue
- 2
- pages
- 380 - 384
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- wos:000188949100016
- scopus:10744226418
- ISSN
- 0018-9448
- DOI
- 10.1109/TIT.2003.822612
- language
- English
- LU publication?
- yes
- id
- ad7799c1-444e-4d92-a57c-6476489dadf6 (old id 287115)
- date added to LUP
- 2016-04-01 17:09:20
- date last changed
- 2022-01-29 00:44:39
@article{ad7799c1-444e-4d92-a57c-6476489dadf6, abstract = {{Nested convolutional codes are a set of convolutional codes that is derived from a given generator matrix. The structural properties of nested convolutional codes and nested generator matrices are studied. A method to construct the set of all minimal (rational) generator matrices of a given convolutional code is presented. As an example, two different sets of nested convolutional codes are derived from two equivalent minimal generator matrices. The significant difference in their free-distance profiles emphasizes the importance of being careful when selecting the generator matrices that determine the nested convolutional codes. As an application of nested convolutional codes, woven codes with outer warp, and inner nested convolutional codes are considered. The free-distance profile of the inner generator matrix is shown to be an important design tool.}}, author = {{Jordan, R and Johannesson, Rolf and Bossert, M}}, issn = {{0018-9448}}, keywords = {{woven convolutional code; convolutional code; nested; minimal generator matrix; free distance}}, language = {{eng}}, number = {{2}}, pages = {{380--384}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Information Theory}}, title = {{Nested convolutional codes and their application to woven codes}}, url = {{http://dx.doi.org/10.1109/TIT.2003.822612}}, doi = {{10.1109/TIT.2003.822612}}, volume = {{50}}, year = {{2004}}, }