DocumentCode :
3511268
Title :
Cumulant-based parametric multichannel FIR system identification methods
Author :
Alshebeili, Saleh A. ; Ozgen, M.T. ; Çetin, A. Enis ; Venetsanopoulos, A.N.
Author_Institution :
King Saud Univ., Riyadh, Saudi Arabia
fYear :
1993
fDate :
1993
Firstpage :
200
Lastpage :
204
Abstract :
The 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 whose 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 with some modifications. To illustrate the effectiveness of these methods, various simulation examples are included.
Keywords :
identification; least squares approximations; signal processing; IID nonGaussian process; fourth-order cumulants; least squares method; multichannel FIR system identification; nonminimum phase system; recursive methods; second order cumulant; signal model; simulation; time-invariant FIR systems; Data communication; Finite impulse response filter; Gaussian noise; Image reconstruction; Least squares methods; Microwave integrated circuits; Nonlinear optics; Optical signal processing; Signal processing; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Higher-Order Statistics, 1993., IEEE Signal Processing Workshop on
Conference_Location :
South Lake Tahoe, CA, USA
Print_ISBN :
0-7803-1238-4
Type :
conf
DOI :
10.1109/HOST.1993.264567
Filename :
264567
Link To Document :
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