Moving average estimator least mean square using echo cancellation algorithm
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, Sang-Yeob | - |
dc.contributor.author | Ahn, Chan-Shik | - |
dc.date.available | 2020-02-29T00:47:22Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2013-01 | - |
dc.identifier.issn | 1876-1100 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14893 | - |
dc.description.abstract | Eco cancellation algorithm should not only promptly adapt itself to changing environment but also minimize effects of a speech signal. However, since the color noise does not feature a consistent signal, it certainly has a significant influence on the speech signal. In this paper, the echo cancellation algorithm with a moving average LMS filter applied has been proposed. For the color noise cancellation method, an average estimator was measured by LMS adaptation filter techniques while a LMS filter step size was controlled. In addition, as it was designed to converge on a non-noise signal, the echo signal was cancelled which would, in return, lead it to the improvement of a performance. For the color noise environment, the echo cancellation Algorithm with the Average Estimator LMS filter used was applied and, a result to prove a convergence performance and stability to be improved by 10 dB comparing to the current method was gained. © 2013 Springer Science+Business Media. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer, Dordrecht | - |
dc.relation.isPartOf | Lecture Notes in Electrical Engineering | - |
dc.title | Moving average estimator least mean square using echo cancellation algorithm | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1007/978-94-007-5860-5_38 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Electrical Engineering, v.215 LNEE, pp.319 - 324 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-84874146554 | - |
dc.citation.endPage | 324 | - |
dc.citation.startPage | 319 | - |
dc.citation.title | Lecture Notes in Electrical Engineering | - |
dc.citation.volume | 215 LNEE | - |
dc.contributor.affiliatedAuthor | Oh, Sang-Yeob | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | Adaptive filter | - |
dc.subject.keywordAuthor | Echo cancellation | - |
dc.subject.keywordAuthor | Least mean square (LMS) filter | - |
dc.subject.keywordAuthor | Moving average estimator | - |
dc.subject.keywordAuthor | Noise cancellation | - |
dc.subject.keywordPlus | Cancellation algorithms | - |
dc.subject.keywordPlus | Changing environment | - |
dc.subject.keywordPlus | Color noise | - |
dc.subject.keywordPlus | Convergence performance | - |
dc.subject.keywordPlus | Echo cancellation algorithm | - |
dc.subject.keywordPlus | Echo signals | - |
dc.subject.keywordPlus | Filter techniques | - |
dc.subject.keywordPlus | Least mean square (LMS) | - |
dc.subject.keywordPlus | Least mean squares | - |
dc.subject.keywordPlus | Moving averages | - |
dc.subject.keywordPlus | Noise cancellation | - |
dc.subject.keywordPlus | Speech signals | - |
dc.subject.keywordPlus | Step size | - |
dc.subject.keywordPlus | Adaptive filters | - |
dc.subject.keywordPlus | Algorithms | - |
dc.subject.keywordPlus | Estimation | - |
dc.subject.keywordPlus | Network security | - |
dc.subject.keywordPlus | Signal denoising | - |
dc.subject.keywordPlus | Spurious signal noise | - |
dc.subject.keywordPlus | Echo suppression | - |
dc.description.journalRegisteredClass | scopus | - |
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