TY  - JOUR
A1  - Meinecke, Frank C.
A1  - Harmeling, Stefan
A1  - Müller, Klaus-Robert
T1  - Inlier-based ICA with an application to superimposed images
N2  - This paper proposes a new independent component analysis (ICA) method which is able to unmix overcomplete mixtures of sparce or structured signals like speech, music or images. Furthermore, the method is designed to be robust against outliers, which is a favorable feature for ICA algorithms since most of them are extremely sensitive to outliers. Our approach is based on a simple outlier index. However, instead of robustifying an existing algorithm by some outlier rejection technique we show how this index can be used directly to solve the ICA problem for super-Gaussian sources. The resulting inlier-based ICA (IBICA) 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). (c) 2005 Wiley Periodicals, Inc
Y1  - 2005
SN  - 0899-9457
ER  - 
TY  - JOUR
A1  - Meinecke, Frank C.
A1  - Ziehe, Andreas
A1  - Kurths, Jürgen
A1  - Müller, Klaus-Robert
T1  - Measuring phase synchronization of superimposed signals
N2  - Phase synchronization is an important phenomenon that occurs in a wide variety of complex oscillatory processes. Measuring phase synchronization can therefore help to gain fundamental insight into nature. In this Letter we point out that synchronization analysis techniques can detect spurious synchronization, if they are fed with a superposition of signals such as in electroencephalography or magnetoencephalography data. We show how techniques from blind source separation can help to nevertheless measure the true synchronization and avoid such pitfalls
Y1  - 2005
SN  - 0031-9007
ER  -