NDLI: Improvement to Geometric Linearization of gpICA Algortihm by Compensation and Multiple Points

Content Provider	IEEE Xplore Digital Library
Author	Torres, E. Ulloa, P. Gaona, A.
Copyright Year	2008
Abstract	In this paper we show 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. We 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 from 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, our second modification uses two sets of four points. We present experimental results which validates the effectiveness of each modification.
Starting Page	39
Ending Page	42
File Size	382903
Page Count	4
File Format	PDF
ISBN	9781424434305
DOI	10.1109/FGCNS.2008.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	BSS (Blin source separation) Source separation Multidimensional systems Conferences Computer simulation Independent component analysis Blind source separation Independent component analysis ICA Power system modeling Signal resolution Signal Processing Signal processing algorithms Speech recognition geometric post nonlinear ICA gpICA
Content Type	Text
Resource Type	Article

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