Paper data
Title:
A Geometric Approach For Separating Post NonLinear Mixtures Author(s): BabaieZadeh Massoud, Sharif University & LISINPG Jutten Christian, LISINPG  France Nayebi Kambiz, Sharif University  Iran Page numbers in the proceedings: Volume II pp 1114 Session: Blind Source Separation / Independent Component Analysis (2/2)
Paper 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.
Paper
