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dc.contributor.authorLin Heen_US
dc.contributor.authorTrasapong Thaiupathumpen_US
dc.contributor.authorSaleem A. Kassamen_US
dc.date.accessioned2018-09-11T09:22:57Z-
dc.date.available2018-09-11T09:22:57Z-
dc.date.issued2005-05-01en_US
dc.identifier.issn10709908en_US
dc.identifier.other2-s2.0-18844408855en_US
dc.identifier.other10.1109/LSP.2005.845601en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=18844408855&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/62164-
dc.description.abstractBlind source separation (BSS) techniques allow recovery of individual source signals from observed mixtures, exploiting only the assumption of mutual independence of sources. Generally, complex signals are recovered with an arbitrary phase rotation. In this letter, we propose two BSS algorithms to separate complex sources that have independent in-phase and quadrature (I/Q) parts. The proposed algorithms allow source phase recovery as well as separation. Simulation results demonstrate that the algorithms are effective in recovering source phases without affecting source separation. © 2005 IEEE.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleBlind separation of complex I/Q independent sources with phase recoveryen_US
dc.typeJournalen_US
article.title.sourcetitleIEEE Signal Processing Lettersen_US
article.volume12en_US
article.stream.affiliationsUniversity of Pennsylvaniaen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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