CUMULANT-BASED PARAMETRIC MULTICHANNEL FIR SYSTEM-IDENTIFICATION METHODS

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1994-03-01

Author

OZGEN, MT
ALSHEBEILI, SA
CETIN, AE
VENETSANOPOULOS, AN

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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.

Subject Keywords

Higher-order statistics, Bispectrum, Reconstruction, Algorithm

URI

https://hdl.handle.net/11511/67657

Journal

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

DOI

https://doi.org/10.1016/0016-0032(94)90028-0

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

M. OZGEN, S. ALSHEBEILI, A. CETIN, and A. VENETSANOPOULOS, “CUMULANT-BASED PARAMETRIC MULTICHANNEL FIR SYSTEM-IDENTIFICATION METHODS,” JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, pp. 145–155, 1994, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67657.