Title :
Blind separation of non-circular sources
Author :
Galy, Jérôme ; Adnet, Claude
Author_Institution :
UMR CNRS 5506, LIRMM, Montpellier, France
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;
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
DOI :
10.1109/SSAP.2000.870135
