Blind source separation of spatio-temporal mixed signals using time-frequency analysis
Ryuichi Ashino, Takeshi Mandai, Akira Morimoto, Fumio Sasaki · Applicable Analysis · 2009
The cocktail party problem deals with the specialized human listening ability to focus one's listening attention on a single talker among a cacophony of conversations and background noise. The blind source separation problem corresponds to a way to enable computers to solve the cocktail party problem in a satisfactory manner. The simplest version of spatio-temporal mixture problem, which is a type of blind source separation problems, is solved using time-frequency analysis. The analytic wavelet transform is used to represent time-frequency information and a numerical simulation is given.