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dc.contributor.authorAlshebeili, S. A.en_US
dc.contributor.authorÖzgen, M. T.en_US
dc.contributor.authorÇetin, A. E.en_US
dc.contributor.authorVenetsanopoulos, A. N.en_US
dc.date.accessioned2015-07-28T12:07:17Z
dc.date.available2015-07-28T12:07:17Z
dc.date.issued1993en_US
dc.identifier.isbn0-7803-1238-4
dc.identifier.urihttp://hdl.handle.net/11693/13624
dc.description.abstractIn this paper, ''least squares'' and recursive methods for simultaneous identification of four nonminimum phase linear, time-invariant FIR systems are presented. The methods utilize the second- and fourth-order cumulants of outputs of the four FIR systems of which the common input is an independent, identically distributed (i.i.d.) non-Gaussian process. The new methods can be extended to the general problem of simultaneous identification of three or more FIR systems by choosing the order of the utilized cumulants to be equal to the number of systems. To illustrate the effectiveness of our methods, two simulation examples are included.en_US
dc.language.isoEnglishen_US
dc.source.title[1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statisticsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/HOST.1993.264567en_US
dc.subjectHigher-order Statisticsen_US
dc.subjectBispectrumen_US
dc.subjectReconstructionen_US
dc.subjectAlgorithmen_US
dc.titleCumulant-based parametric multichannel FIR system identification methodsen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage145en_US
dc.citation.epage155en_US
dc.identifier.doi10.1109/HOST.1993.264567en_US
dc.publisherIEEEen_US


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