Real time noise-cancellation using ICA, PSO and PE

buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888en_US
dc.contributor.authorBor, R. İremen_US
dc.contributor.authorIder, Y. Ziyaen_US
dc.contributor.authorArıkan, Orhanen_US
dc.contributor.authorErtan, Erdemen_US
dc.contributor.bilkentauthorArıkan, Orhan
dc.coverage.spatialMuğla, Turkeyen_US
dc.date.accessioned2016-02-08T12:13:27Z
dc.date.available2016-02-08T12:13:27Z
dc.date.issued2012en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 18-20 April 2012en_US
dc.description.abstractIn order to provide noiseless transmission of speech in wireless communication systems a real-time implementable noise cancellation algorithm is developed. Speech and noise sources are not known but only their mixtures are observed. That system is modeled with instantaneous mixture model. Combination of independent component analysis (ICA) and particle swarm optimization (PSO) algorithms is used to separate speech and noise. However, ICA has an ambiguity such that it is not possible to know which one of the separated signals is speech or noise. As a result, the transmitted signal can be noise, instead of speech. To overcome this ambiguity problem, a pitch extraction (PE) algorithm is developed and combined with ICA-PSO. ICAPSO-PE algorithm is implemented in MATLAB. Contributions of this work are modifying objective functions of ICA algorithm to make them more robust, combining ICA with PSO to make it work fast and robust, and overcoming the ambiguity problem using PE algorithm. © 2012 IEEE.en_US
dc.identifier.doi10.1109/SIU.2012.6204671en_US
dc.identifier.issn2165-0608en_US
dc.identifier.urihttp://hdl.handle.net/11693/28182
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2012.6204671en_US
dc.source.title2012 20th Signal Processing and Communications Applications Conference (SIU)en_US
dc.subjectICA algorithmsen_US
dc.subjectInstantaneous mixturesen_US
dc.subjectNoise sourceen_US
dc.subjectNoise-cancellation algorithmsen_US
dc.subjectObjective functionsen_US
dc.subjectParticle swarm optimization algorithmen_US
dc.subjectPitch extractionen_US
dc.subjectReal timeen_US
dc.subjectTransmitted signalen_US
dc.subjectWireless communication systemen_US
dc.subjectAlgorithmsen_US
dc.subjectIndependent component analysisen_US
dc.subjectParticle swarm optimization (PSO)en_US
dc.subjectSeparationen_US
dc.subjectSignal processingen_US
dc.subjectSpeech communicationen_US
dc.subjectSpeech transmissionen_US
dc.titleReal time noise-cancellation using ICA, PSO and PEen_US
dc.title.alternativeBBA, PSO ve SPÖ kullanilarak gerçek zamanli gürültügiderimien_US
dc.typeConference Paperen_US
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