Underdetermined mixing matrix estimation algorithm based on tensor analysis

Aiming at the problems of difficult to extract effective feature information and the slow convergence speed of the underdetermined matrix estimation, an underdetermined matrix estimation algorithm of instantaneous mixtures based on tensor analysis was proposed to overcome the constraint of signal sp...

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Main Authors: Baoze MA, Guojun LI, Cuiling XIANG, Yang XU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2022-11-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022206/
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author Baoze MA
Guojun LI
Cuiling XIANG
Yang XU
author_facet Baoze MA
Guojun LI
Cuiling XIANG
Yang XU
author_sort Baoze MA
collection DOAJ
description Aiming at the problems of difficult to extract effective feature information and the slow convergence speed of the underdetermined matrix estimation, an underdetermined matrix estimation algorithm of instantaneous mixtures based on tensor analysis was proposed to overcome the constraint of signal sparsity.In the proposed algorithm, the symmetric third-order tensor was constructed via the autocovariance matrix of segmentation sub-block, which was compressed into a kernel tensor to reduce the size of the data.An enhanced line search technology was applied to speed up the convergence of alternating least squares method, and the factor matrix was used as the measure of the mixing matrix estimation, but the selection of the number of segmentation sub-blocks was an open problem.Experimental results demonstrate that the proposed algorithm outperforms the sparse transformation method and the traditional high-order statistical method in handling the underdetermined mixing matrix estimation.
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institution Kabale University
issn 1000-436X
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publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-832d4db5894f49808bd8a2763724f8532025-01-14T06:29:17ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-11-0143354359393425Underdetermined mixing matrix estimation algorithm based on tensor analysisBaoze MAGuojun LICuiling XIANGYang XUAiming at the problems of difficult to extract effective feature information and the slow convergence speed of the underdetermined matrix estimation, an underdetermined matrix estimation algorithm of instantaneous mixtures based on tensor analysis was proposed to overcome the constraint of signal sparsity.In the proposed algorithm, the symmetric third-order tensor was constructed via the autocovariance matrix of segmentation sub-block, which was compressed into a kernel tensor to reduce the size of the data.An enhanced line search technology was applied to speed up the convergence of alternating least squares method, and the factor matrix was used as the measure of the mixing matrix estimation, but the selection of the number of segmentation sub-blocks was an open problem.Experimental results demonstrate that the proposed algorithm outperforms the sparse transformation method and the traditional high-order statistical method in handling the underdetermined mixing matrix estimation.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022206/underdetermined matrix estimationsymmetric tensorsegmentation strategyautocovariance matrix
spellingShingle Baoze MA
Guojun LI
Cuiling XIANG
Yang XU
Underdetermined mixing matrix estimation algorithm based on tensor analysis
Tongxin xuebao
underdetermined matrix estimation
symmetric tensor
segmentation strategy
autocovariance matrix
title Underdetermined mixing matrix estimation algorithm based on tensor analysis
title_full Underdetermined mixing matrix estimation algorithm based on tensor analysis
title_fullStr Underdetermined mixing matrix estimation algorithm based on tensor analysis
title_full_unstemmed Underdetermined mixing matrix estimation algorithm based on tensor analysis
title_short Underdetermined mixing matrix estimation algorithm based on tensor analysis
title_sort underdetermined mixing matrix estimation algorithm based on tensor analysis
topic underdetermined matrix estimation
symmetric tensor
segmentation strategy
autocovariance matrix
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022206/
work_keys_str_mv AT baozema underdeterminedmixingmatrixestimationalgorithmbasedontensoranalysis
AT guojunli underdeterminedmixingmatrixestimationalgorithmbasedontensoranalysis
AT cuilingxiang underdeterminedmixingmatrixestimationalgorithmbasedontensoranalysis
AT yangxu underdeterminedmixingmatrixestimationalgorithmbasedontensoranalysis