DocumentCode
356729
Title
Blind separation of non-circular sources
Author
Galy, Jérôme ; Adnet, Claude
Author_Institution
UMR CNRS 5506, LIRMM, Montpellier, France
fYear
2000
fDate
2000
Firstpage
315
Lastpage
318
Abstract
Blind source separation is now a well known problem. When a priori information about the propagation or the geometry of the array is not available, the model can be generalized to a blind source separation model. It supposes the statistical independence of the sources and their non-gaussianity. In this paper, we focus on an algorithm, called canonical correlation analysis, based on the use of second order statistics
Keywords
array signal processing; correlation methods; statistical analysis; array geometry; array propagation; blind source separation; canonical correlation analysis; non-circular sources; non-gaussianity; second order statistics; statistical independence; Algorithm design and analysis; Binary phase shift keying; Blind source separation; Eigenvalues and eigenfunctions; Equations; Information geometry; Interference elimination; Signal processing; Solid modeling; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location
Pocono Manor, PA
Print_ISBN
0-7803-5988-7
Type
conf
DOI
10.1109/SSAP.2000.870135
Filename
870135
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