Name
Abstract | ||
|---|---|---|
We propose an extension of the narrow band source separation algorithms to the case of wide band sources, which is developed in frequency domain. We mainly focus on the separation of convolutive mixtures of rotating machine noises and develop two specific points. In the first point, we study the feasibility of the separation of periodic signals, with regard to the hypothesis of random and non gaussian sources. The second point consists in the reconstruction of the spectra of the estimated sources from the signals identified at each frequency bin. Indeed, the source associated to the ith identified signal is not necessarily the same from one frequency bin to another. In this paper, we theoretically prove the feasibility of the separation of rotating machine noises and propose a solution in order to reconstruct the source spectra. The algorithm is then illustrated with experimental results, including the procedures of separation and reconstruction. |
Year | Venue | Keywords |
|---|---|---|
1996 | EUSIPCO | noise,frequency domain analysis,matrix decomposition |
Field | DocType | ISBN |
Frequency domain,Bin,Matrix decomposition,Higher-order statistics,Algorithm,Speech recognition,Gaussian,Periodic graph (geometry),Blind signal separation,Source separation,Mathematics | Conference | 978-888-6179-83-6 |
Citations | PageRank | References |
4 | 0.99 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Capdevielle, V. | 1 | 4 | 0.99 |
| Serviere, Ch. | 2 | 4 | 0.99 |
| Jean-Louis Lacoume | 3 | 62 | 12.13 |