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.
Original language | English |
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Pages (from-to) | 153-162 |
Number of pages | 10 |
Journal | Applied Mathematics and Computation |
Volume | 187 |
Issue number | 1 SPEC. ISS. |
DOIs | |
State | Published - 2007/04/01 |
Keywords
- Blind source separation
- Time-frequency analysis
- Wavelet
ASJC Scopus subject areas
- Computational Mathematics
- Applied Mathematics