Construction Method of UEP Convolutional Codes Based on Conditional Weight Distributions
Summary :
In this paper, we study unequal error protection (UEP) capabilities of punctured convolutional codes. For constructing the good UEP convolutional codes, the conditional weight distributions of UEP convolutional codes are defined and evaluated. The conditional weight distributions are computed by using the transfer functions of time-varying trellis structures of punctured convolutional codes. The best UEP convolutional codes from the viewpoint of the weight distributions are listed.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E81-A No.10 pp.2019-2024
- Publication Date
- 1998/10/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Information Theory and Its Applications)
- Category
- Coding Theory
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Kazuhiko YAMAGUCHI, Toshiaki WATANABE, Kingo KOBAYASHI, "Construction Method of UEP Convolutional Codes Based on Conditional Weight Distributions" in IEICE TRANSACTIONS on Fundamentals,
vol. E81-A, no. 10, pp. 2019-2024, October 1998, doi: .
Abstract: In this paper, we study unequal error protection (UEP) capabilities of punctured convolutional codes. For constructing the good UEP convolutional codes, the conditional weight distributions of UEP convolutional codes are defined and evaluated. The conditional weight distributions are computed by using the transfer functions of time-varying trellis structures of punctured convolutional codes. The best UEP convolutional codes from the viewpoint of the weight distributions are listed.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e81-a_10_2019/_p
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@ARTICLE{e81-a_10_2019,
author={Kazuhiko YAMAGUCHI, Toshiaki WATANABE, Kingo KOBAYASHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Construction Method of UEP Convolutional Codes Based on Conditional Weight Distributions},
year={1998},
volume={E81-A},
number={10},
pages={2019-2024},
abstract={In this paper, we study unequal error protection (UEP) capabilities of punctured convolutional codes. For constructing the good UEP convolutional codes, the conditional weight distributions of UEP convolutional codes are defined and evaluated. The conditional weight distributions are computed by using the transfer functions of time-varying trellis structures of punctured convolutional codes. The best UEP convolutional codes from the viewpoint of the weight distributions are listed.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Construction Method of UEP Convolutional Codes Based on Conditional Weight Distributions
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2019
EP - 2024
AU - Kazuhiko YAMAGUCHI
AU - Toshiaki WATANABE
AU - Kingo KOBAYASHI
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E81-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 1998
AB - In this paper, we study unequal error protection (UEP) capabilities of punctured convolutional codes. For constructing the good UEP convolutional codes, the conditional weight distributions of UEP convolutional codes are defined and evaluated. The conditional weight distributions are computed by using the transfer functions of time-varying trellis structures of punctured convolutional codes. The best UEP convolutional codes from the viewpoint of the weight distributions are listed.
ER -
English
