Abstract
The blind source separation problem is discussed in this article. Focusing on the assumption of independency of the sources in the time-frequency domain, we present a mathematical formulation for the estimation problem of the number of sources. The proposed method uses the quotient of complex valued time-frequency information of only two observed signals to detect the number of sources. No fewer number of observed signals than the detected number of sources is needed to separate sources. The assumption on sources is quite general independence in the time-frequency plane, which is different from that of independent component analysis. We propose algorithms with feedback and give numerical simulations to show the method works well even for noisy case.
Original language | English |
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Pages (from-to) | 577-609 |
Number of pages | 33 |
Journal | International Journal of Phytoremediation |
Volume | 86 |
Issue number | 5 |
DOIs | |
State | Published - 2007/05 |
Keywords
- 2000 Mathematics Subject Classifications: Primary: 94A12
- Blind source separation
- Secondary: 42C40
- Time-frequency analysis
- Wavelet
ASJC Scopus subject areas
- Environmental Chemistry
- Pollution
- Plant Science