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Improving the Sound Source Identification Performance of Sparsity Constrained Deconvolution Beamforming Utilizing SFISTA
Joint Authors
Tan, Long
Chen, Debing
Shen, Linbang
Chu, Zhigang
Ye, Fangbiao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In this paper, an alternative sparsity constrained deconvolution beamforming utilizing the smoothing fast iterative shrinkage-thresholding algorithm (SFISTA) is proposed for sound source identification.
Theoretical background and solving procedures are introduced.
The influence of SFISTA regularization and smoothing parameters on the sound source identification performance is analyzed, and the recommended values of the parameters are obtained for the presented cases.
Compared with the sparsity constrained deconvolution approach for the mapping of acoustic sources (SC-DAMAS) and the fast iterative shrinkage-thresholding algorithm (FISTA), the proposed SFISTA with appropriate regularization and smoothing parameters has faster convergence speed, higher quantification accuracy and computational efficiency, and more insensitivity to measurement noise.
American Psychological Association (APA)
Shen, Linbang& Chu, Zhigang& Tan, Long& Chen, Debing& Ye, Fangbiao. 2020. Improving the Sound Source Identification Performance of Sparsity Constrained Deconvolution Beamforming Utilizing SFISTA. Shock and Vibration،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209648
Modern Language Association (MLA)
Shen, Linbang…[et al.]. Improving the Sound Source Identification Performance of Sparsity Constrained Deconvolution Beamforming Utilizing SFISTA. Shock and Vibration No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1209648
American Medical Association (AMA)
Shen, Linbang& Chu, Zhigang& Tan, Long& Chen, Debing& Ye, Fangbiao. Improving the Sound Source Identification Performance of Sparsity Constrained Deconvolution Beamforming Utilizing SFISTA. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209648
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209648