The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A decodificação de distância mínima generalizada (GMD) é uma decodificação de decisão suave bem conhecida para códigos lineares. Pesquisas anteriores sobre decodificação GMD focaram principalmente em canais AWGN não quantizados com sinalização BPSK para códigos lineares binários. Neste artigo, é apresentado um estudo sobre o projeto de um quantizador uniforme de 4 níveis para decodificação GMD. Além disso, é proposta uma versão estendida de um algoritmo de decodificação GMD para um quantizador de 4 níveis, e a eficácia da decodificação proposta é mostrada por simulação.
Shunsuke UEDA
Okayama University
Ken IKUTA
Okayama University
Takuya KUSAKA
Okayama University
Md. Al-Amin KHANDAKER
Okayama University
Md. Arshad ALI
Okayama University
Yasuyuki NOGAMI
Okayama University
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Shunsuke UEDA, Ken IKUTA, Takuya KUSAKA, Md. Al-Amin KHANDAKER, Md. Arshad ALI, Yasuyuki NOGAMI, "An Extended Generalized Minimum Distance Decoding for Binary Linear Codes on a 4-Level Quantization over an AWGN Channel" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 8, pp. 1235-1244, August 2018, doi: 10.1587/transfun.E101.A.1235.
Abstract: Generalized Minimum Distance (GMD) decoding is a well-known soft-decision decoding for linear codes. Previous research on GMD decoding focused mainly on unquantized AWGN channels with BPSK signaling for binary linear codes. In this paper, a study on the design of a 4-level uniform quantizer for GMD decoding is given. In addition, an extended version of a GMD decoding algorithm for a 4-level quantizer is proposed, and the effectiveness of the proposed decoding is shown by simulation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1235/_p
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@ARTICLE{e101-a_8_1235,
author={Shunsuke UEDA, Ken IKUTA, Takuya KUSAKA, Md. Al-Amin KHANDAKER, Md. Arshad ALI, Yasuyuki NOGAMI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Extended Generalized Minimum Distance Decoding for Binary Linear Codes on a 4-Level Quantization over an AWGN Channel},
year={2018},
volume={E101-A},
number={8},
pages={1235-1244},
abstract={Generalized Minimum Distance (GMD) decoding is a well-known soft-decision decoding for linear codes. Previous research on GMD decoding focused mainly on unquantized AWGN channels with BPSK signaling for binary linear codes. In this paper, a study on the design of a 4-level uniform quantizer for GMD decoding is given. In addition, an extended version of a GMD decoding algorithm for a 4-level quantizer is proposed, and the effectiveness of the proposed decoding is shown by simulation.},
keywords={},
doi={10.1587/transfun.E101.A.1235},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - An Extended Generalized Minimum Distance Decoding for Binary Linear Codes on a 4-Level Quantization over an AWGN Channel
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1235
EP - 1244
AU - Shunsuke UEDA
AU - Ken IKUTA
AU - Takuya KUSAKA
AU - Md. Al-Amin KHANDAKER
AU - Md. Arshad ALI
AU - Yasuyuki NOGAMI
PY - 2018
DO - 10.1587/transfun.E101.A.1235
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2018
AB - Generalized Minimum Distance (GMD) decoding is a well-known soft-decision decoding for linear codes. Previous research on GMD decoding focused mainly on unquantized AWGN channels with BPSK signaling for binary linear codes. In this paper, a study on the design of a 4-level uniform quantizer for GMD decoding is given. In addition, an extended version of a GMD decoding algorithm for a 4-level quantizer is proposed, and the effectiveness of the proposed decoding is shown by simulation.
ER -