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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Penghantaran parameter source-codec yang dikodkan secara konvolusi melalui saluran bising boleh mendapat manfaat daripada prinsip turbo melalui penyahkodan saluran sumber berulang. Kami mula-mula merumuskan pelaksanaan rekursif berdasarkan trellises kod keratan untuk penyahkodan simbol MAP bagi kod konvolusi binari. Prestasi dipertingkatkan lagi dengan penggunaan penyahkod sumber softbit interpolasi yang mengambil kira output saluran dalam blok interleaving. Keputusan simulasi menunjukkan bahawa skim cadangan kami membenarkan pertukaran antara penyahkod konstituennya maklumat ekstrinsik peringkat simbol dan mencapai keteguhan tinggi terhadap bunyi saluran.
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Salinan
Chun-Feng WU, Wen-Whei CHANG, "Iterative Source-Channel Decoding Using Symbol-Level Extrinsic Information" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 12, pp. 3555-3563, December 2010, doi: 10.1587/transcom.E93.B.3555.
Abstract: Transmission of convolutionally encoded source-codec parameters over noisy channels can benefit from the turbo principle through iterative source-channel decoding. We first formulate a recursive implementation based on sectionalized code trellises for MAP symbol decoding of binary convolutional codes. Performance is further enhanced by the use of an interpolative softbit source decoder that takes into account the channel outputs within an interleaving block. Simulation results indicate that our proposed scheme allows to exchange between its constituent decoders the symbol-level extrinsic information and achieves high robustness against channel noises.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.3555/_p
Salinan
@ARTICLE{e93-b_12_3555,
author={Chun-Feng WU, Wen-Whei CHANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Iterative Source-Channel Decoding Using Symbol-Level Extrinsic Information},
year={2010},
volume={E93-B},
number={12},
pages={3555-3563},
abstract={Transmission of convolutionally encoded source-codec parameters over noisy channels can benefit from the turbo principle through iterative source-channel decoding. We first formulate a recursive implementation based on sectionalized code trellises for MAP symbol decoding of binary convolutional codes. Performance is further enhanced by the use of an interpolative softbit source decoder that takes into account the channel outputs within an interleaving block. Simulation results indicate that our proposed scheme allows to exchange between its constituent decoders the symbol-level extrinsic information and achieves high robustness against channel noises.},
keywords={},
doi={10.1587/transcom.E93.B.3555},
ISSN={1745-1345},
month={December},}
Salinan
TY - JOUR
TI - Iterative Source-Channel Decoding Using Symbol-Level Extrinsic Information
T2 - IEICE TRANSACTIONS on Communications
SP - 3555
EP - 3563
AU - Chun-Feng WU
AU - Wen-Whei CHANG
PY - 2010
DO - 10.1587/transcom.E93.B.3555
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2010
AB - Transmission of convolutionally encoded source-codec parameters over noisy channels can benefit from the turbo principle through iterative source-channel decoding. We first formulate a recursive implementation based on sectionalized code trellises for MAP symbol decoding of binary convolutional codes. Performance is further enhanced by the use of an interpolative softbit source decoder that takes into account the channel outputs within an interleaving block. Simulation results indicate that our proposed scheme allows to exchange between its constituent decoders the symbol-level extrinsic information and achieves high robustness against channel noises.
ER -