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A Simple Approximation for Fast Nonlinear Deconvolution

A Simple Approximation for Fast Nonlinear Deconvolution
 
Solé-Casals, Jordi ; Caiafa, Cesar F.
2011

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Enllaç permanent: http://hdl.handle.net/10854/2721
 
Versió de l'editor: https://doi.org/10.1007/978-3-642-25020-0_8
 

Abstract

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 ...»»»»
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.^^^^

Type:

Conference object

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(c) Springer (The original publication is available at www.springerlink.com)
 
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Citation:

Sole-Casals, J., & Caiafa, C. F. (2011). A Simple Approximation for Fast Nonlinear Deconvolution. Advances in Nonlinear Speech Processing, 7015, 55-62.