Open Science Research Excellence
%0 Journal Article
%A Koji Yamanouchi and  Masaru Fujieda and  Takahiro Murakami and  Yoshihisa Ishida
%D 2007 
%J  International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 1, 2007
%T An Approach for Blind Source Separation using the Sliding DFT and Time Domain Independent Component Analysis 
%U http://waset.org/publications/13540
%V 1
%X  ''Cocktail party problem'' is well known as one of the human auditory abilities. We can recognize the specific sound that we want to listen by this ability even if a lot of undesirable sounds or noises are mixed. Blind source separation (BSS) based on independent component analysis (ICA) is one of the methods by which we can separate only a special signal from their mixed signals with simple hypothesis. In this paper, we propose an online approach for blind source separation using the sliding DFT and the time domain independent component analysis. The proposed method can reduce calculation complexity in comparison with conventional methods, and can be applied to parallel processing by using digital signal processors (DSPs) and so on. We evaluate this method and show its availability.  
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