Newton-like methods for parallel independent component analysis
Independent Component Analysis (ICA) can be studied from different angles. The performance of ICA algorithms significantly depends on the choice of the contrast function and the optimisation algorithm used in obtaining the demixing matrix. In this paper we focus on the standard linear ICA problem from an algorithmic point of view. It is well known that after a pre-whitening process, linear ICA problem can be solved via an optimisation approach on a suitable manifold. FastICA is one prominent...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 2006 IEEE Signal Processing Workshop|
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