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dc.contributor.authorChan, Kit
dc.contributor.authorNordholm, Sven
dc.contributor.authorLow, S.
dc.contributor.authorYong, Pei
dc.contributor.authorYiu, Ka Fai
dc.date.accessioned2017-01-30T14:48:33Z
dc.date.available2017-01-30T14:48:33Z
dc.date.created2014-04-15T20:01:02Z
dc.date.issued2014
dc.identifier.citationChan, Kit Yan and Nordholm, Sven and Low, Siow Yong and Yong, Pei Chee and Yiu, Ka Fai Cedric. 2014. A hybrid descent method for optimal sigmoid filter design. IEEE Signal Processing Letters. 21 (4): pp. 478-482.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/41143
dc.identifier.doi10.1109/LSP.2014.2303498
dc.description.abstract

In this letter, a hybrid descent method is used to determine a set of filter parameters for a sigmoid filter which attempts to work under various SNR conditions. It overcomes the limitations of the current sigmoid filters that performs effectively only at a single SNR. Results show that significant improvement in terms of better speech qualities can be achieved by the proposed sigmoid filter when working under various SNR conditions.

dc.publisherIEEE Signal Processing Society
dc.subjectsigmoid function
dc.subjectnoise suppression
dc.subjectspeech enhancement
dc.subjectHybrid optimization method
dc.subjectvarious SNR conditions
dc.titleA hybrid descent method for optimal sigmoid filter design
dc.typeJournal Article
dcterms.source.volume21
dcterms.source.number4
dcterms.source.startPage478
dcterms.source.endPage482
dcterms.source.issn1070-9908
dcterms.source.titleIEEE Signal Processing Letters
curtin.note

Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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curtin.accessStatusOpen access


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