Abstract
We present a survey and generalizations of some methods for ICA like maximiza- tion of kurtosis and algebraic cumulant methods for a combination of second and fourth order statistics by joint diagonalization of covariance and cumulant matrices depending on time delays. We describe an experiment with EEG data showing that the combination of second and fourth order statistics gives better results for detecting of eye movements.
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Georgiev, P., Cichocki, A., Bakardjian, H. (2004). Optimization Techniques for Independent Component Analysis with Applications to EEG Data. In: Pardalos, P.M., Sackellares, J.C., Carney, P.R., Iasemidis, L.D. (eds) Quantitative Neuroscience. Biocomputing, vol 2. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0225-4_3
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DOI: https://doi.org/10.1007/978-1-4613-0225-4_3
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