Method to separate sparse components from signal mixtures
Digital Signal Processing
Journal of Computational and Applied Mathematics
Heart and lung sound separation using periodic source extraction method
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
A two-stage based approach for extracting periodic signals
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Harmonic retrieval by period blind source extraction method: Model and algorithm
Digital Signal Processing
One-unit second-order blind identification with reference for short transient signals
Information Sciences: an International Journal
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A sequential algorithm for the blind separation of a class of periodic source signals is introduced in this paper. The algorithm is based only on second-order statistical information and exploits the assumption that the source signals have distinct periods. Separation is performed by sequentially converging to a solution which in effect diagonalizes the output covariance matrix constructed at a lag corresponding to the fundamental period of the source we select, the one with the smallest period. Simulation results for synthetic signals and real electrocardiogram recordings show that the proposed algorithm has the ability to restore statistical independence, and its performance is comparable to that of the equivariant adaptive source separation (EASI) algorithm, a benchmark high-order statistics-based sequential algorithm with similar computational complexity. The proposed algorithm is also shown to mitigate the limitation that the EASI algorithm can separate at most one Gaussian distributed source. Furthermore, the steady-state performance of the proposed algorithm is compared with that of EASI and the block-based second-order blind identification (SOBI) method.