An efficient feedback canceler for hearing aids based on approximated affine projection
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sangmin | - |
dc.contributor.author | Kim, Inyoung | - |
dc.contributor.author | Park, Youngcheol | - |
dc.date.accessioned | 2022-12-21T10:51:20Z | - |
dc.date.available | 2022-12-21T10:51:20Z | - |
dc.date.created | 2022-08-26 | - |
dc.date.issued | 2006-08 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/181197 | - |
dc.description.abstract | In the feedback cancelation systems in hearing aids, signal cancelation and coloration artifacts can occur for a narrow-band input. In this paper, we propose a new adaptive feedback cancelation algorithm that can achieve fast convergence by approximating the affine projection (AP) algorithm and prevent signal cancelation by controlling the step-size. A Gram-Schmidt prediction error filter (GS-PEF) is used for a stable approximation of the AP algorithm, and the step-size is varied using the prediction factor of the input signal. Simulations results are presented to verify efficiency of the proposed algorithm. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | An efficient feedback canceler for hearing aids based on approximated affine projection | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Inyoung | - |
dc.identifier.doi | 10.1007/11816102_75 | - |
dc.identifier.scopusid | 2-s2.0-33749580766 | - |
dc.identifier.wosid | 000240085400075 | - |
dc.identifier.bibliographicCitation | COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS, v.4115, pp.711 - 720 | - |
dc.relation.isPartOf | COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS | - |
dc.citation.title | COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS | - |
dc.citation.volume | 4115 | - |
dc.citation.startPage | 711 | - |
dc.citation.endPage | 720 | - |
dc.type.rims | ART | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Biochemistry & Molecular Biology | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Biochemical Research Methods | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordPlus | CANCELLATION | - |
dc.subject.keywordPlus | ADAPTATION | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007/11816102_75 | - |
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