Title :
A geometric approach for separating post non-linear mixtures
Author :
Babaie-Zadeh, Massoud ; Jutten, Christian ; Nayebi, Kambiz
Author_Institution :
Lab. des Images et des Signaux (LIS), Inst. Nat. Polytech., Grenoble, France
Abstract :
A geometric method for separating PNL mixtures, for the case of 2 sources and 2 sensors, has been presented. The main idea is to find compensating nonlinearities to transform the scatter plot of observations to a parallelogram. It then results in a linear mixture which can be separated by any linear source separation algorithm. An indirect result of the paper is another separability proof of PNL mixtures of bounded sources for 2 sources and 2 sensors.
Keywords :
blind source separation; PNL mixture separation; blind source separation; geometric approach; linear source separation algorithm; nonlinearity compensation; post nonlinear mixture separation; Abstracts; Signal to noise ratio;
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse
