Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/243
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electronic and Information Engineering | - |
| dc.creator | Li, W | - |
| dc.creator | Siu, WC | - |
| dc.date.accessioned | 2014-12-11T08:23:51Z | - |
| dc.date.available | 2014-12-11T08:23:51Z | - |
| dc.identifier.issn | 1070-9908 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/243 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | © 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | en_US |
| dc.rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | en_US |
| dc.subject | Speech enhancement | en_US |
| dc.subject | Constrained-optimization techniques | en_US |
| dc.title | Speech enhancement using the constrained-optimization technique | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.description.otherinformation | Author name used in this publication: W. Li | en_US |
| dc.description.otherinformation | Author name used in this publication: W. C. Siu | en_US |
| dc.identifier.spage | 28 | - |
| dc.identifier.epage | 30 | - |
| dc.identifier.volume | 7 | - |
| dc.identifier.issue | 2 | - |
| dc.identifier.doi | 10.1109/97.817378 | - |
| dcterms.abstract | We address a problem of speech enhancement: recovering a speech source from a mixture of its delayed versions and additive noise. By using the constrained-optimization technique, the second order statistics based algorithm is developed. The new proposed algorithm requires no strong limitations to the speech signal and the noise. Simulation results show that our algorithm achieves a better performance as compared to other algorithms. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | IEEE signal processing letters, Feb. 2000, v. 7, no. 2, p. 28-30 | - |
| dcterms.isPartOf | IEEE signal processing letters | - |
| dcterms.issued | 2000-02 | - |
| dc.identifier.isi | WOS:000084975800002 | - |
| dc.identifier.scopus | 2-s2.0-0033891483 | - |
| dc.identifier.eissn | 1558-2361 | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
| dc.description.pubStatus | Published | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| constrained-optimization_00.pdf | 70.5 kB | Adobe PDF | View/Open |
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