Laplacian-enhanced non-synchronous measurements method

To address the challenges of physical geometric constraints of microphone arrays and the lack of a prior information about the operating frequencies of target signals, we propose a novel method for broadband multiple-sound-source localization: a non-synchronous measurements method for broadband multiple-sound-source localization based on Laplacian-enhanced low-rank tensor completion. Our method thoroughly analyzes the tensor data structure of broadband signals and introduces a multiplier-optimized alternating direction method. Through extensive simulation studies, our approach has achieved remarkable results. We validate the outstanding performance of the Laplacian-enhanced algorithm, demonstrating its ability to generate highly accurate sound maps, capturing five distinct speech signal sources. Compared to other methods, our approach provides a more comprehensive global view. This technological advancement brings substantial hope for the precise localization of multiple broadband sound sources in critical applications, offering significant potential for future applications.

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Publication Details

Journal
NOISE-CON proceedings
Published
2024-10-04
DOI
https://doi.org/10.3397/in_2024_2280
Citations
1
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
0.29
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article

Laplacian-enhanced non-synchronous measurements method

Xiaoang Liu, Weize Sun, Long Chen, Shiqi Liu et al.
1 citations
NOISE-CON proceedings
Analytical Chemistry and Sensors
0.29
article

Laplacian-enhanced non-synchronous measurements method

Xiaoang Liu, Weize Sun, Long Chen, Shiqi Liu, Jiaxin Hu, Guitong CHEN, J.H. Zhang
article en
1 citations

Abstract

To address the challenges of physical geometric constraints of microphone arrays and the lack of a prior information about the operating frequencies of target signals, we propose a novel method for broadband multiple-sound-source localization: a non-synchronous measurements method for broadband multiple-sound-source localization based on Laplacian-enhanced low-rank tensor completion. Our method thoroughly analyzes the tensor data structure of broadband signals and introduces a multiplier-optimized alternating direction method. Through extensive simulation studies, our approach has achieved remarkable results. We validate the outstanding performance of the Laplacian-enhanced algorithm, demonstrating its ability to generate highly accurate sound maps, capturing five distinct speech signal sources. Compared to other methods, our approach provides a more comprehensive global view. This technological advancement brings substantial hope for the precise localization of multiple broadband sound sources in critical applications, offering significant potential for future applications.

NOISE-CON proceedingsVol. 270(11)
Northwestern Polytechnical University (CN), Shenzhen University (CN), Hebei University of Technology (CN)
Quality Education
Openalex Percentile: Top 48%
Analytical Chemistry and Sensors
0.29
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Laplacian-enhanced non-synchronous measurements method — Xiaoang Liu, Weize Sun, et al. · NOISE-CON proceedings (2024) | TGRS Research Map | TGRS