Analysis of sparse representation and blind source separation
Neural Computation
A Note on Stone's Conjecture of Blind Signal Separation
Neural Computation
A novel approach for underdetermined blind sources separation in frequency domain
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
FIR convolutive BSS based on sparse representation
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Sequential blind extraction of instantaneously mixed sources
IEEE Transactions on Signal Processing
Blind extraction of singularly mixed source signals
IEEE Transactions on Neural Networks
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Underdetermined blind delayed source problem is studied in this paper. Firstly, on the basis of the searching-and-averaging-based method in frequency domain, the algorithm was extended to blind delay source model. Secondly, a new cost function for estimating the delay of observed signal was present; the delay was inferred in the single-signal intervals. Finally, the delayed sound experiments demonstrate its performance.