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Blind identification of Volterra-Hammerstein systems

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2 Author(s)
Kalouptsidis, N. ; Dept. of Informatics & Telecommun., Athens Univ., Greece ; Koukoulas, P.

This paper is concerned with the blind identification of Volterra-Hammerstein systems excited by zero mean white Gaussian inputs. A new method is developed for the determination of the Volterra kernels. Output cumulants of order twice the nonlinearity degree of the system are employed.

Published in:

Statistical Signal Processing, 2003 IEEE Workshop on

Date of Conference:

28 Sept.-1 Oct. 2003