Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
On the performance output cumulant matching based source separation methods in noise
ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
Independent component analysis based on higher-order statistics only
SSAP '96 Proceedings of the 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing (SSAP '96)
On optimal source separation based on second and fourth order cumulants
SSAP '96 Proceedings of the 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing (SSAP '96)
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In this paper we propose a new algorithm for performing blind source separation and signal recovery for the narrowband case. This algorithm seeks to estimate and implement the Wiener filter directly, using the second- and fourth-order cumulants. The estimated filter is asymptotically consistent with or without noise, and is not subject to the bound imposed by pre-whitening as with some existing algorithms. In many cases it nearly achieves the clairvoyant Wiener limit as performance studies show.