DocumentCode :
2549535
Title :
Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures
Author :
Kawamoto, Mitsuru ; Kohno, Kiyotaka ; Inouye, Yujiro
Author_Institution :
National Inst. of Adv. Ind. Sci. & Technol., Tsukuba
fYear :
2006
fDate :
21-24 May 2006
Abstract :
This paper presents an eigenvector algorithm (EVA) derived from a criterion using reference signals, in which the EVA is applied to the blind source separation (BSS) of instantaneous mixtures. The proposed EVA works such that source signals are simultaneously separated from their mixtures. This is a new result, which has not been clarified by the conventional researches. Moreover, by modifying the criterion, the corresponding EVA which is robust to Gaussian noise is derived. Simulation results show the validity of the proposed EVAs
Keywords :
Gaussian noise; blind source separation; eigenvalues and eigenfunctions; Gaussian noise; blind source separation; eigenvector algorithms; instantaneous mixtures; reference signals; source signal separation; Blind source separation; Centralized control; Electrical equipment industry; Electronics industry; Filters; Gaussian noise; Industrial control; Industrial electronics; MIMO; Source separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
Type :
conf
DOI :
10.1109/ISCAS.2006.1693553
Filename :
1693553
Link To Document :
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