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Conference Paper: A new Kalman filter-based power spectral density estimation for nonstationary pressure signals
Title | A new Kalman filter-based power spectral density estimation for nonstationary pressure signals |
---|---|
Authors | |
Keywords | Electronics |
Issue Date | 2006 |
Publisher | IEEE. |
Citation | Proceedings - Ieee International Symposium On Circuits And Systems, 2006, p. 1619-1622 How to Cite? |
Abstract | This paper presents a new Kalman filter-based power spectral density estimation (PSD) algorithm for nonstationary pressure signals. The pressure signal is assumed to be an autoregressive (AR) process, and a stochastically perturbed difference equation constraint model is used to describe the dynamics of the AR coefficients. The proposed Kalman filter frame uses variable number of measurements to estimate the time-varying AR coefficients and yield the PSD estimation with better time-frequency resolution. Simulation results show that the proposed algorithm achieves a better time-frequency resolution than conventional algorithms for nonstationary pressure signals. © 2006 IEEE. |
Description | IEEE International Symposium on Circuits and Systems, Island of Kos, Greece, 21-24 May 2006 |
Persistent Identifier | http://hdl.handle.net/10722/45925 |
ISSN | 2023 SCImago Journal Rankings: 0.307 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, ZG | en_HK |
dc.contributor.author | Lau, WY | en_HK |
dc.contributor.author | Chan, SC | en_HK |
dc.date.accessioned | 2007-10-30T06:38:37Z | - |
dc.date.available | 2007-10-30T06:38:37Z | - |
dc.date.issued | 2006 | en_HK |
dc.identifier.citation | Proceedings - Ieee International Symposium On Circuits And Systems, 2006, p. 1619-1622 | en_HK |
dc.identifier.issn | 0271-4310 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/45925 | - |
dc.description | IEEE International Symposium on Circuits and Systems, Island of Kos, Greece, 21-24 May 2006 | - |
dc.description.abstract | This paper presents a new Kalman filter-based power spectral density estimation (PSD) algorithm for nonstationary pressure signals. The pressure signal is assumed to be an autoregressive (AR) process, and a stochastically perturbed difference equation constraint model is used to describe the dynamics of the AR coefficients. The proposed Kalman filter frame uses variable number of measurements to estimate the time-varying AR coefficients and yield the PSD estimation with better time-frequency resolution. Simulation results show that the proposed algorithm achieves a better time-frequency resolution than conventional algorithms for nonstationary pressure signals. © 2006 IEEE. | en_HK |
dc.format.extent | 1247084 bytes | - |
dc.format.extent | 27162 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. | en_HK |
dc.relation.ispartof | Proceedings - IEEE International Symposium on Circuits and Systems | en_HK |
dc.rights | ©2006 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. | - |
dc.subject | Electronics | en_HK |
dc.title | A new Kalman filter-based power spectral density estimation for nonstationary pressure signals | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0271-4302&volume=&spage=1619&epage=1622&date=2006&atitle=A+new+Kalman+filter-based+power+spectral+density+estimation+for+nonstationary+pressure+signals | en_HK |
dc.identifier.email | Chan, SC:scchan@eee.hku.hk | en_HK |
dc.identifier.authority | Chan, SC=rp00094 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/ISCAS.2006.1692911 | en_HK |
dc.identifier.scopus | eid_2-s2.0-34547350758 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-34547350758&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 1619 | en_HK |
dc.identifier.epage | 1622 | en_HK |
dc.identifier.scopusauthorid | Zhang, ZG=15039888400 | en_HK |
dc.identifier.scopusauthorid | Lau, WY=13608386400 | en_HK |
dc.identifier.scopusauthorid | Chan, SC=13310287100 | en_HK |
dc.identifier.issnl | 0271-4310 | - |