Speech Communication - Special issue on speech processing for hearing aids
A Snore Extraction Method from Mixed Sound for a Mobile Snore Recorder
Journal of Medical Systems
A Systolic Architecture and Implementation of Feedback Network for Blind Source Separation
Journal of VLSI Signal Processing Systems
Shifted independent component analysis
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Learning of translation-invariant independent components: multivariate anechoic mixtures
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Application of blind source separation to time delay estimation in interference environments
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
Anechoic Blind Source Separation Using Wigner Marginals
The Journal of Machine Learning Research
Multiple acoustic sources location based on blind source separation
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
A FPGA architecture of blind source separation and real time implementation
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Canonical correlation analysis using for DOA estimation of multiple audio sources
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Unsupervised learning of spatio-temporal primitives of emotional gait
PIT'06 Proceedings of the 2006 international tutorial and research conference on Perception and Interactive Technologies
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Bell and Sejnowski (see Neural Computation, vol.7, no.6, p.1004-34, 1995) have presented an approach to blind source separation based on the information maximization principle. We extend this approach into more general cases where the sources may have been delayed with respect to each other. We present a network architecture capable of coping with such sources, and we derive the adaptation equations for the delays and the weights in the network by maximizing the information transferred through the network. Examples using wideband sources such as speech are presented to illustrate the algorithm.