The identification of nonlinear biological systems: Wiener and Hammerstein cascade models
Biological Cybernetics
Quasi-nonparametric blind inversion of Wiener systems
IEEE Transactions on Signal Processing
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When dealing with nonlinear blind deconvolution, complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing or in microarray data analysis. In this paper we propose a simple method to reduce computational time for the inversion of Wiener systems by using a linear approximation in a minimum-mutual information algorithm. Experimental results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased.