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. © 2011 Springer-Verlag.
CITATION STYLE
Solé-Casals, J., & Caiafa, C. F. (2011). A simple approximation for fast nonlinear deconvolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7015 LNAI, pp. 55–62). https://doi.org/10.1007/978-3-642-25020-0_8
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