Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96261
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | en_US |
dc.creator | Gao, M | en_US |
dc.creator | Yiu, KFC | en_US |
dc.date.accessioned | 2022-11-14T04:07:12Z | - |
dc.date.available | 2022-11-14T04:07:12Z | - |
dc.identifier.issn | 2155-3289 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/96261 | - |
dc.language.iso | en | en_US |
dc.publisher | American Institute of Mathematical Sciences (AIMS Press) | en_US |
dc.rights | © 2022 The Author(s). Published by AIMS, LLC. This is an Open Access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Mingjie Gao, Ka-Fai Cedric Yiu. On the simultaneous design of broadband beamformer filters and configuration. Numerical Algebra, Control and Optimization, 2023, 13(2): 328-339 is available at https://doi.org/10.3934/naco.2022019. | en_US |
dc.subject | Beamformer optimization | en_US |
dc.subject | Array configuration optimization | en_US |
dc.title | On the simultaneous design of broadband beamformer filters and configuration | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 328 | en_US |
dc.identifier.epage | 339 | en_US |
dc.identifier.volume | 13 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.doi | 10.3934/naco.2022019 | en_US |
dcterms.abstract | For signal enhancement, beamforming remains to be an essential technique for many applications. In the design process, the microphone locations are prescribed and the signal from a target location is being enhanced. While the filter coefficients can be readily optimized, it is found that the signal enhancement capability depends significantly on the array configuration. Therefore, it is advantageous to consider both filters and microphone positions as design variables. In this paper, this problem is addressed. We formulate the beamformer design problem as a non-linear least square problem and propose Gauss-Newton algorithm to update both filters and configuration simultaneously during iterations. We illustrate by several designs to demonstrate the effectiveness of the proposed method. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Numerical algebra, control and optimization, June 2023, v. 13, no. 2, p. 328-339 | en_US |
dcterms.isPartOf | Numerical algebra, control and optimization | en_US |
dcterms.issued | 2023-06 | - |
dc.description.validate | 202211 bcww | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | RGC-B3-0096 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | PolyU | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.TA | AIMS (2023) | en_US |
dc.description.oaCategory | TA | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2155-3289_2022019.pdf | 4.52 MB | Adobe PDF | View/Open |
Page views
36
Last Week
0
0
Last month
Citations as of Sep 22, 2024
Downloads
21
Citations as of Sep 22, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.