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This paper presents two modifications of the gpICA (Geometric Post non-Linear Independent Component Analysis) algorithm. gpICA algorithm is a novel method to solve the PNL (Post non-linear) scheme. The authors propose these modifications to improve the mean squared error, the correlation of the recovered signals and algorithm reliability. The first improvement, called compensation, takes advantage of the implicit information given by the point to be linearized. On the other hand, while the original gpICA algorithm uses two sets of two points to make an update, their second modification uses two sets of four points. They present experimental results which validates the effectiveness of each modification.
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