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ICA
2004
Springer
13 years 10 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...
Frank C. Meinecke, Stefan Harmeling, Klaus-Robert ...
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
13 years 10 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
IJON
1998
87views more  IJON 1998»
13 years 4 months ago
Learned parametric mixture based ICA algorithm
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
Lei Xu, Chi Chiu Cheung, Shun-ichi Amari
NIPS
1997
13 years 6 months ago
Extended ICA Removes Artifacts from Electroencephalographic Recordings
Severe contamination of electroencephalographic (EEG) activity by eye movements, blinks, muscle, heart and line noise is a serious problem for EEG interpretation and analysis. Rej...
Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott...
ICA
2007
Springer
13 years 11 months ago
A Robust Complex FastICA Algorithm Using the Huber M-Estimator Cost Function
In this paper, we propose to use the Huber M-estimator cost function as a contrast function within the complex FastICA algorithm of Bingham and Hyvarinen for the blind separation o...
Jih-Cheng Chao, Scott C. Douglas