DocumentCode :
3512032
Title :
Blind source extraction of periodic signals
Author :
Ghaderi, Foad ; Mohseni, Hamid R. ; McWhirter, John G. ; Sanei, Saeid
Author_Institution :
Centre of Digital Signal Process., Cardiff Univ., Cardiff
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
377
Lastpage :
380
Abstract :
A new algorithm is developed here for blind extraction of periodic signals. It is assumed that the fundamental frequencies of the sources (or alternatively one of the harmonics for each source) are known a priori. Necessary and sufficient conditions for blind source extraction of cyclostationary signals are introduced and the optimization problem is solved using steepest descent method for complex matrices. Computer simulation results verify the effectiveness and good performance of the algorithm.
Keywords :
blind source separation; feature extraction; matrix algebra; blind source extraction; complex matrix; cyclostationary signal; optimization problem; periodic signal separation; steepest descent method; Computer simulation; Covariance matrix; Digital signal processing; Frequency; Higher order statistics; Optimization methods; Signal processing; Signal processing algorithms; Source separation; Sufficient conditions; Blind source extraction; cyclostationarity; periodic signal separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4959599
Filename :
4959599
Link To Document :
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