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Design and Optimization of Linking Matrix for a JSCC System Based on DP-LDPC Codes

Although extensive optimization of encoding and decoding schemes for joint source-channel coding (JSCC) systems has been conducted, efficient optimization schemes are still required for designing and optimizing the linking matrix between variable nodes of the source code and check nodes of the chann...

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Detalles Bibliográficos
Autores principales: Lv, Yijie, Hong, Shaohua, Wang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453323/
https://www.ncbi.nlm.nih.gov/pubmed/37628176
http://dx.doi.org/10.3390/e25081145
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author Lv, Yijie
Hong, Shaohua
Wang, Lin
author_facet Lv, Yijie
Hong, Shaohua
Wang, Lin
author_sort Lv, Yijie
collection PubMed
description Although extensive optimization of encoding and decoding schemes for joint source-channel coding (JSCC) systems has been conducted, efficient optimization schemes are still required for designing and optimizing the linking matrix between variable nodes of the source code and check nodes of the channel code. A scheme has been proposed for design and optimization of linking matrix with multi-edges by analyzing the performance of the JSCC system using the joint protograph extrinsic information transfer algorithm to calculate decoding thresholds. The proposed scheme incorporates structural constraints and is effective in designing and optimizing the multi-edges in linking matrix for the JSCC system. Experimental results have demonstrated that the designed and optimized linking matrix significantly improves the performance of the JSCC system. Furthermore, the proposed scheme reduces the complexity of the solution space for the optimized example.
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spelling pubmed-104533232023-08-26 Design and Optimization of Linking Matrix for a JSCC System Based on DP-LDPC Codes Lv, Yijie Hong, Shaohua Wang, Lin Entropy (Basel) Article Although extensive optimization of encoding and decoding schemes for joint source-channel coding (JSCC) systems has been conducted, efficient optimization schemes are still required for designing and optimizing the linking matrix between variable nodes of the source code and check nodes of the channel code. A scheme has been proposed for design and optimization of linking matrix with multi-edges by analyzing the performance of the JSCC system using the joint protograph extrinsic information transfer algorithm to calculate decoding thresholds. The proposed scheme incorporates structural constraints and is effective in designing and optimizing the multi-edges in linking matrix for the JSCC system. Experimental results have demonstrated that the designed and optimized linking matrix significantly improves the performance of the JSCC system. Furthermore, the proposed scheme reduces the complexity of the solution space for the optimized example. MDPI 2023-07-31 /pmc/articles/PMC10453323/ /pubmed/37628176 http://dx.doi.org/10.3390/e25081145 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lv, Yijie
Hong, Shaohua
Wang, Lin
Design and Optimization of Linking Matrix for a JSCC System Based on DP-LDPC Codes
title Design and Optimization of Linking Matrix for a JSCC System Based on DP-LDPC Codes
title_full Design and Optimization of Linking Matrix for a JSCC System Based on DP-LDPC Codes
title_fullStr Design and Optimization of Linking Matrix for a JSCC System Based on DP-LDPC Codes
title_full_unstemmed Design and Optimization of Linking Matrix for a JSCC System Based on DP-LDPC Codes
title_short Design and Optimization of Linking Matrix for a JSCC System Based on DP-LDPC Codes
title_sort design and optimization of linking matrix for a jscc system based on dp-ldpc codes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453323/
https://www.ncbi.nlm.nih.gov/pubmed/37628176
http://dx.doi.org/10.3390/e25081145
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