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Improving algorithm speed in PNL mixture separation and Wiener system inversion

Improving algorithm speed in PNL mixture separation and Wiener system inversion
 
Solé-Casals, Jordi ; Babaie-Zadeh, Massoud ; Jutten, Christian ; Pham, Dinh-Tuan
2003

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Nom: artconlli_a2003_sole_casals_jordi_improving_algorithm.pdf
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Enllaç permanent: http://hdl.handle.net/10854/2786
 

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This paper proposes a very simple method for increasing the algorithm speed for separating sources from PNL mixtures or invertingWiener systems. The method is based on a pertinent initialization of the inverse system, whose computational cost is very low. The nonlinear part is roughly approximated by pushing the observations ...»»»»
This paper proposes a very simple method for increasing the algorithm speed for separating sources from PNL mixtures or invertingWiener systems. The method is based on a pertinent initialization of the inverse system, whose computational cost is very low. The nonlinear part is roughly approximated by pushing the observations to be Gaussian; this method provides a surprisingly good approximation even when the basic assumption is not fully satisfied. The linear part is initialized so that outputs are decorrelated. Experiments shows the impressive speed improvement.^^^^

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