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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mertins, A. Russel, I. |
| Copyright Year | 2003 |
| Description | Author affiliation: Inst. of Phys., Oldenburg Univ., Germany (Mertins, A.) |
| Abstract | This paper presents an extension of the ACDC algorithm introduced by Yeredor for the instantaneous mixing problem to the more general convolutive mixing problem with non-white sources. Further assumptions made on the source signals are their mutual statistical independence, nonstationarity and smoothness of their power spectra. The algorithm iterates the estimation of the mixing system (AC step) and the source statistics (DC step) until convergence is achieved. The proposed algorithm operates in the frequency domain, but unlike most frequency domain algorithms, it carries out some of the operations jointly for all frequencies. This allows us to overcome frequency dependent permutation and scaling problems. |
| Starting Page | 527 |
| Ending Page | 530 |
| File Size | 258749 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780379462 |
| DOI | 10.1109/ISSPA.2003.1224930 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-07-04 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Frequency domain analysis Frequency dependence Statistics Signal processing Physics Convergence System identification Blind source separation Australia Speech |
| Content Type | Text |
| Resource Type | Article |
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