Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/20398
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | en_US |
dc.creator | Li, Z | en_US |
dc.creator | Yiu, KFC | en_US |
dc.date.accessioned | 2015-10-13T08:26:43Z | - |
dc.date.available | 2015-10-13T08:26:43Z | - |
dc.identifier.issn | 0952-1976 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/20398 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | © 2015 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.rights | The following publication Li, Z., & Yiu, K. F. C. (2016). Beamformer configuration design in reverberant environments. Engineering Applications of Artificial Intelligence, 47, 81-87 is available at https://doi.org/10.1016/j.engappai.2015.04.015. | en_US |
dc.subject | Hybrid descent method | en_US |
dc.subject | LCMV beamforming | en_US |
dc.subject | Microphone array configuration | en_US |
dc.subject | Reverberation | en_US |
dc.title | Beamformer configuration design in reverberant environments | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.doi | 10.1016/j.engappai.2015.04.015 | en_US |
dcterms.abstract | Many speech-related products rely on the deployment of microphone arrays and standard regular configurations are often used. In enhancing speech quality, the placement of microphones is indeed an important factor. Moreover, for indoor applications, the room acoustics further increases the difficulty. In this paper, these problems are addressed. First, we define the LCMV beamformer design problem using estimated room impulse responses with reverberation. Then, we study the performance limit on the filter length and formulate the configuration design problem. Finally, we employ a hybrid descent method with the genetic algorithm for solving the design problem. Numerical examples demonstrate the effectiveness of the proposed method. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Engineering applications of artificial intelligence, Jan. 2016, v. 47, p. 81-87 | en_US |
dcterms.isPartOf | Engineering applications of artificial intelligence | en_US |
dcterms.issued | 2016-01 | - |
dc.identifier.isi | WOS:000367494200009 | - |
dc.identifier.scopus | 2-s2.0-84930740339 | - |
dc.identifier.eissn | 1873-6769 | en_US |
dc.identifier.rosgroupid | 2015003000 | - |
dc.description.ros | 2015-2016 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | 202208 bcvc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | AMA-0606 | - |
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.identifier.OPUS | 6597053 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Yiu_Beamformer_Configuration_Design.pdf | Pre-Published version | 1.09 MB | Adobe PDF | View/Open |
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