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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/12733

Title: Cumulant-based parametric multichannel FIR system identification methods
Authors: Tankut Özgen, M.
Alshebeili, S.A.
Enis Çetin, A.
Venetsanopoulos, A.N.
Keywords: Computer simulation; Distributed parameter control systems; Infrared radiation; Invariance; Least squares approximations; Linear control systems; Optical systems; Recursive functions
Issue Date: 1994
Citation: Journal of the Franklin Institute Volume 331, Issue 2, March 1994, Pages 145-155
Abstract: In 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. © 1994.
URI: http://hdl.handle.net/123456789/12733
ISSN: 00160032
Appears in Collections:College of Engineering

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