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.^^^^