An e cient procedure for the blind inversion of a nonlinear Wiener system is proposed. We proved that the
problem can be expressed as a problem of blind source separation in nonlinear mixtures, for which a solution
has been recently proposed. Based on a quasi-nonparametric relative gradient descent, the proposed algorithm
can ...»»»»
An e cient procedure for the blind inversion of a nonlinear Wiener system is proposed. We proved that the
problem can be expressed as a problem of blind source separation in nonlinear mixtures, for which a solution
has been recently proposed. Based on a quasi-nonparametric relative gradient descent, the proposed algorithm
can perform e ciently even in the presence of hard distortions.^^^^
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Citación Bibliográfica:
Taleb, A., Solé Casals, J. & Jutten, C. 2001, "Quasi-nonparametric blind inversion of Wiener systems", Ieee Transactions on Signal Processing, vol. 49, no. 5, pp. 917-924.