Blind separation of noisy harmonic signals using only second order statistics

Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

Volumn 2, Issue , 1999, Pages 749-752

  Fabry, P ^a   Serviere, Ch ^a  

^a ENSIEG   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; HIGHER ORDER STATISTICS; SIGNAL ANALYSIS;

BLIND SEPARATION; CORRELATION FUNCTION; CROSS CORRELATIONS; DELAYED OBSERVATION; LOW SIGNAL-TO-NOISE RATIO; SECOND ORDER STATISTICS; SEPARATION PROCESS; WIENER FILTERING;

SIGNAL TO NOISE RATIO;

EID: 84940519260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICECS.1999.813217     Document Type: Conference Paper

References (4)

1. P. Comon. Independent component analysis : A new concept ? Signal Processing, Vol. 36:287-314, 1994.
2. P. Fabry, Ch. Serviere, and Lacoume J.-L. Improving signal subspace estimation and source number detection in the context of spatially correlated noises. In EUSIPCO, 1998.
3. M. Gaéta and J.-L. Lacoume. Source separation without a priory knowledge : The maximum likelihood solution. In Proc. EUSIPCO, pages 621-624, 1990.
4. G.H. Golub and F. Van Loan. Matrix Computations. The Johns Hopkins University Press, 1983.