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Quasi-nonparametric blind inversion of Wiener systems

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3 Author(s)
Taleb, A. ; Sch. of Electr. & Comput. Eng. Sci., Curtin Univ. of Technol., Perth, WA, Australia ; Sole, J. ; Jutten, C.

An efficient procedure for the blind inversion of a nonlinear Wiener system is proposed. We show that the problem can be expressed as a problem of blind source separation in nonlinear mixtures for which a solution has been previously proposed. Based on a quasi-nonparametric relative gradient descent, the proposed algorithm can perform efficiently even in the presence of hard distortions

Published in:

Signal Processing, IEEE Transactions on  (Volume:49 ,  Issue: 5 )

Date of Publication:

May 2001

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