A Simple Approximation for Fast Nonlinear Deconvolution

JORDI SOLE-CASALS; CESAR F. CAIAFA

LECTURE NOTES IN COMPUTER SCIENCE

Springer

Año: 2011 vol. 7015 p. 55 - 62

0302-9743

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.