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A Gradient based algorithm for blind inversion of Wiener System using multi-variate score functions

A Gradient based algorithm for blind inversion of Wiener System using multi-variate score functions
 
Babaie-Zadeh, Massoud ; Solé-Casals, Jordi ; Jutten, Christian
2003

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Nom: artconlli_a2003_sole_casals_jordi_gradient_based.pdf
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Enllaç permanent: http://hdl.handle.net/10854/2785
 

Resum:

A Wiener system is a linear time-invariant filter, followed by an invertible nonlinear distortion. Assuming that the input signal is an independent and identically distributed (iid) sequence, we propose an algorithm for estimating the input signal only by observing the output of the Wiener system. The algorithm is based on ...»»»»
A Wiener system is a linear time-invariant filter, followed by an invertible nonlinear distortion. Assuming that the input signal is an independent and identically distributed (iid) sequence, we propose an algorithm for estimating the input signal only by observing the output of the Wiener system. The algorithm is based on minimizing the mutual information of the output samples, by means of a steepest descent gradient approach.^^^^

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