How fast is FastICA
Vicente Zarzoso, Pierre Comon, Mariem Kallel · 2013
The present contribution deals with the statistical tool of Independent Component Analysis (ICA). The fo-cus is on the deflation approach, whereby the inde-pendent components are extracted one after another. The kurtosis-based FastICA is arguably one of the most widespread methods of this kind. However, its features, particularly its speed, have not been thoroughly eval-uated or compared, so that its popularity seems some-what unfounded. To substantiate this claim, a simple quite natural modification is put forward and assessed in this paper. It merely consists of performing exact line search optimization of the contrast function. Speed is objectively measured in terms of the computational complexity required to reach a given source extraction performance. Illustrative numerical results demonstrate the faster convergence and higher robustness to initial-ization of the proposed approach, which is thus referred to as RobustICA. 1.