File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: A matrix-pencil approach to blind separation of multi-channel bio-signals

TitleA matrix-pencil approach to blind separation of multi-channel bio-signals
Authors
KeywordsBlind source separation
matrix pencil
Issue Date1999
PublisherIEEE.
Citation
The 21st IEEE Engineering in Medicine and Biology Society Conference Proceedings, Atlanta, Georgia, 13-16 October 1999, v. 2, p. 1008-1009 How to Cite?
AbstractMany biological and physiological processes can be modeled as a linear Multi-Input Multi-Output (MIMO) system. Blind deconvolution is ideal for retrieving the input signals and/or system parameters, given only the outputs and some input statistical information, but not the inputs themselves. In general biomedical signals sources have distinct, non-stationary, colored power spectral density, so, we use our algorithm developed before which works well for such kinds of signals. Simulation results are presented.
Persistent Identifierhttp://hdl.handle.net/10722/46197
ISSN

 

DC FieldValueLanguage
dc.contributor.authorXu, Wen_HK
dc.contributor.authorChang, Cen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:44:35Z-
dc.date.available2007-10-30T06:44:35Z-
dc.date.issued1999en_HK
dc.identifier.citationThe 21st IEEE Engineering in Medicine and Biology Society Conference Proceedings, Atlanta, Georgia, 13-16 October 1999, v. 2, p. 1008-1009en_HK
dc.identifier.issn1557-170Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/46197-
dc.description.abstractMany biological and physiological processes can be modeled as a linear Multi-Input Multi-Output (MIMO) system. Blind deconvolution is ideal for retrieving the input signals and/or system parameters, given only the outputs and some input statistical information, but not the inputs themselves. In general biomedical signals sources have distinct, non-stationary, colored power spectral density, so, we use our algorithm developed before which works well for such kinds of signals. Simulation results are presented.en_HK
dc.format.extent89217 bytes-
dc.format.extent585892 bytes-
dc.format.extent4066 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1999 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.en_HK
dc.subjectBlind source separationen_HK
dc.subjectmatrix pencilen_HK
dc.titleA matrix-pencil approach to blind separation of multi-channel bio-signalsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1557-170X&volume=2&spage=1008&epage=1009&date=1999&atitle=A+matrix-pencil+approach+to+blind+separation+of+multi-channel+bio-signalsen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/IEMBS.1999.804161en_HK
dc.identifier.hkuros53620-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats