| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 4635815 | Applied Mathematics and Computation | 2007 | 10 Pages | 
Abstract
												To treat the blind source separation problems, in many cases, either statistical independence or statistical orthogonality (uncorrelation) on the sources has been assumed. Napoletani–Berenstein–Krishnaprasad treated the problem under the linear independence of the windowed Fourier transforms of sources and the continuity of density functions defined statistically. In this paper, another independence of the windowed Fourier transforms of sources in a time–frequency domain is proposed without assuming any statistical conditions. This paper is a summary of the authors’ submitted papers.
Related Topics
												
													Physical Sciences and Engineering
													Mathematics
													Applied Mathematics
												
											Authors
												Keiko Fujita, Yoshitsugu Takei, Akira Morimoto, Ryuichi Ashino, 
											