DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kil, Rhee-Man | - |
dc.contributor.advisor | 길이만 | - |
dc.contributor.author | Cho, Eun-Young | - |
dc.contributor.author | 조은영 | - |
dc.date.accessioned | 2011-12-14T04:55:00Z | - |
dc.date.available | 2011-12-14T04:55:00Z | - |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=237844&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/42100 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 응용수학전공, 2004, [ vi, 35 p. ] | - |
dc.description.abstract | The speech enhancement is a challenging research field with numerous applications. In this thesis, we analyze the performance of Kalman and $H_∞$ filtering algorithms in speech enhancements. The theories of Kalman and $H_∞$ filtering methods are investigated. We also compare the performance of both filtering methods in various cases of signal-to-noise ratios (SNRs). Simulation results show that the Kalman filtering gives better performance than the $H_∞$ filtering in the case of the speech corrupted by White Gaussian noise, especially in low SNR while the $H_∞$ filtering gives better performance than the Kalman filtering in the case of the speech corrupted by colored noise in general. However, in the $H_∞$ filtering, the parameter adaptation is critical to get the good performance. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | KALMAN FILTERING | - |
dc.subject | H∞ FILTERING | - |
dc.subject | H∞ 필터링 | - |
dc.subject | 칼만 필터링 | - |
dc.title | Performance analysis of Kalman and H∞ filtering algorithms in speech enhancement | - |
dc.title.alternative | 잡음 음성 향상에서 칼만과 H∞ 필터링 알고리즘의 성능비교 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 237844/325007 | - |
dc.description.department | 한국과학기술원 : 응용수학전공, | - |
dc.identifier.uid | 020023586 | - |
dc.contributor.localauthor | Kil, Rhee-Man | - |
dc.contributor.localauthor | 길이만 | - |
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