A prospective way for nonlinear blind deconvolution and deblurring

Blind deconvolution became an important field of interest for higher order moments application during the two last decades due to the capacity of these moments to reconstruct mixed phase systems. On the other hand, nonlinear systems detection and identification have been also studied with methods using polyspectra. We present in this paper a method to restore white or unskewed data sequences passing through a nonlinear system based on a set of mixed higher order moments equations.