Local convergence properties of fastica and some generalisations
In recent years, algorithms to perform Independent Component Analysis in blind identification, localisation of sources or more general in data analysis have been developed. Prominent example certainly is the socalled FastICA algorithms from the Finnish school. In this paper we will generalise the FastICA algorithm considered as a discrete dynamical system on the unit sphere to the case where all units converge simultaneously, i.e., we consider some kind of parallel FastICA algorithm living on...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)|
|01_Hueper_Local_convergence_properties_2006.pdf||121.7 kB||Adobe PDF||Request a copy|
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