ISSN:
1531-5878
Keywords:
Blind source separation
;
adaptive algorithm
;
second-order cyclic statistics
;
convergence analysis
Source:
Springer Online Journal Archives 1860-2000
Topics:
Electrical Engineering, Measurement and Control Technology
Notes:
Abstract This paper addresses the problem of blind separation of cyclostationary sources. By using the cyclostationarity property of the source signals, new criteria based on second-order cyclic statistics (SOCS) are established, from which two algorithms for blind source separation are proposed. Compared with the existing higher-order statistics-based approaches, our new approach requires few data samples and does not impose any restrictions on the probability distributions of the source signals. Simulation results are given to demonstrate the effectiveness of this new approach.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01229991
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