Christian Jutten and Jeanny Herault,
Blind separation of sources, part I: An adaptive
algorithm based on neuromimetic architecture,
Signal Processing,
24, 1, pp. 1-10, July 1991.
Christian Jutten and Jeanny Herault,
Blind separation of sources, part I: An adaptive
algorithm based on neuromimetic architecture,
Signal Processing,
24, 1, pp. 1-10, July 1991.The separation of independent sources from an array of sensors is a classical but difficult problem in signal processing. Based on some biological observations, an adaptive algorithm is proposed to separate simultaneously all the unknown independent sources. The adaptive rule, which constitutes an independence test using non-linear functions, is the main original point of this blind identification procedure. Moreover, a new concept, that of INdependent Components Analysis (INCA), more powerful than the classical Principal Components Analysis (in decision tasks) emerges from this work.