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Quasi-Nonparametric Blind Inversion of Wiener Systems

Quasi-Nonparametric Blind Inversion of Wiener Systems
 
Taleb, Anisse ; Solé-Casals, Jordi ; Jutten, Christian
2001

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Enllaç permanent: http://hdl.handle.net/10854/2108
 
Versió de l'editor: https://doi.org/10.1109/78.917796
 

Abstract

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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Article

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(c) IEEE, 2001 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
 
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Citation:

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.