An Adaptive System Identification Method Based on Bispectrum

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dc.citation.epage969en_US
dc.citation.issueNumber8en_US
dc.citation.spage967en_US
dc.citation.volumeNumber38en_US
dc.contributor.authorAlshebeili, S.A.en_US
dc.contributor.authorVenetsanopoulos, A.N.en_US
dc.contributor.authorEnis Cetin, A.en_US
dc.date.accessioned2016-02-08T10:56:09Z
dc.date.available2016-02-08T10:56:09Z
dc.date.issued1991en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractThis paper presents a new adaptive technique for the identification of a linear system driven by white non-Gaussian noise. The system can be a non-minimum phase system. The adaptive identification technique is a least mean-square (LMS) type algorithm and it is obtained by using the higher order correlations of the system output. © 1991 IEEEen_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:56:09Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1991en
dc.identifier.doi10.1109/31.85642en_US
dc.identifier.issn0098-4094
dc.identifier.urihttp://hdl.handle.net/11693/26181
dc.language.isoEnglishen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/31.85642en_US
dc.source.titleIEEE Transactions on Circuits and Systemsen_US
dc.subjectComputer Simulationen_US
dc.subjectMathematical Techniques - Least Squares Approximationsen_US
dc.subjectMathematical Transformations - Fourier Transformsen_US
dc.subjectNoise, Spurious Signal - White Noiseen_US
dc.subjectSpectrum Analysisen_US
dc.subjectAdaptive Identification Techniqueen_US
dc.subjectLeast Mean Square Algorithmen_US
dc.subjectLinear System Identificationen_US
dc.subjectSystems Science and Cyberneticsen_US
dc.titleAn Adaptive System Identification Method Based on Bispectrumen_US
dc.typeArticleen_US

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