A HISTOGRAM-BASED OVERCOMPLETE ICA ALGORITHM
Fabian Joachim Theis, Carlos G. Puntonet, Elmar Wolfgang Lang · University of Regensburg Publication Server (University of Regensburg) · 2003
Overcomplete blind source separation (BSS) tries to recover more sources from less sensor signals. We present a new approach based on an estimated histogram of the sensor data; we search for the points fulfilling the overcomplete Geometric Convergence Condition, which has been shown to be a limit condition of overcomplete geometric BSS. The paper concludes with an example and a comparison of various overcomplete BSS algorithms.