DocumentCode
3103178
Title
Separation of sinusoidal sources
Author
Serviere, C. ; Capdevielle, V. ; Lacoume, J.-L.
Author_Institution
CEPHAG ENSIEG, Saint Martin d´´Heres, France
fYear
1997
fDate
21-23 Jul 1997
Firstpage
344
Lastpage
348
Abstract
A particular source separation problem is addressed in this paper. We mainly focus on the separation of convolutive mixtures of rotating machine noises when the rotation speeds are close. Three specific points are developed. In the first point, we study the feasibility of the separation of periodic signals, regarding the hypothesis of random and non gaussian sources. We also discuss about the hypothesis of independence between the sources, as a function of the rotation speeds. In the second point, we analyze the performances of the source separation for close rotation speeds. They are linked to a partial correlation between the machine noises. Then, we propose a new method for very close rotation speeds, which takes into account this partial dependence between the sources
Keywords
acoustic convolution; acoustic correlation; acoustic noise; random noise; spectral analysis; convolutive mixtures; nongaussian sources; partial correlation; partial dependence; periodic signals; random sources; rotating machine noise; rotation speeds; sinusoidal sources; source separation problem; Adaptive filters; Discrete Fourier transforms; Higher order statistics; Linearity; Matrix decomposition; Performance analysis; Rotating machines; Sensor phenomena and characterization; Source separation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
Conference_Location
Banff, Alta.
Print_ISBN
0-8186-8005-9
Type
conf
DOI
10.1109/HOST.1997.613544
Filename
613544
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