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ICA
2004
Springer

Robust ICA for Super-Gaussian Sources

14 years 5 months ago
Robust ICA for Super-Gaussian Sources
Abstract. Most ICA algorithms are sensitive to outliers. Instead of robustifying existing algorithms by outlier rejection techniques, we show how a simple outlier index can be used directly to solve the ICA problem for super-Gaussian source signals. This ICA method is outlier-robust by construction and can be used for standard ICA as well as for overcomplete ICA (i.e. more source signals than observed signals (mixtures)).
Frank C. Meinecke, Stefan Harmeling, Klaus-Robert
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICA
Authors Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller
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