DocumentCode :
1752243
Title :
Closed-form semi-blind separation of three sources from three real-valued instantaneous linear mixtures via quaternions
Author :
Zarzoso, Vicente ; Nandi, Asoke K.
Author_Institution :
Dept. of Electr. Eng. & Electron., Liverpool Univ., UK
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
1
Abstract :
In the problem of blind source separation from instantaneous linear mixtures, a unitary transformation remains unknown after second-order spatial whitening. We present a novel approach for the identification of the orthogonal matrix in the real-valued three-signal scenario which, in contrast to existing procedures, operates in a single closed-form step, with no iterations. The new approach is based on intuitive geometrical notions and the theory of quaternions, and develops into a practical semi-blind method requiring certain prior knowledge on the source statistics. A simple numerical experiment illustrates the proposed algorithm
Keywords :
covariance matrices; multidimensional signal processing; principal component analysis; 3D linear ICA; 3D signal processing; BSS; closed-form semi-blind source separation; covariance matrix; independent component analysis; orthogonal matrix; principal component analysis; quaternions; real-valued instantaneous linear mixtures; second-order spatial whitening; source statistics; three-dimensional linear ICA; three-signal scenario; unitary transformation; Biomedical signal processing; Blind source separation; Independent component analysis; Quaternions; Scattering; Signal processing; Signal processing algorithms; Source separation; Statistics; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
Type :
conf
DOI :
10.1109/ISSPA.2001.949760
Filename :
949760
Link To Document :
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