ICA (Independent Component Analysis) can estimate unknown source signals from their mixtures under the assumption that the source signals are statistically independent. However, in a real environment, the separation performance is often deteriorated because the number of the source signals is different from that of the sensors. In this paper, we propose an estimation method for the number of the sources based on the joint distribution of the observed signals under two-sensor configuration. From several simulation results, it is found that the number of the sources is coincident to that of peaks in the histogram of the distribution. The proposed method can estimate the number of the sources even if it is larger than that of the observed signals.
Bibliographic reference. Ishibashi, Takaaki / Nakashima, Hidetoshi / Gotanda, Hiromu (2008): "Studies on estimation of the number of sources in blind source separation", In INTERSPEECH-2008, 163-166.