A fast algorithm for one-unit ICA-R was proposed by Lin et al. [19] in which normalization of the weight vector at each step is used to expedite the convergence process, instead of using the equality constraint. ... ... where c is the learning rate.
Mar 1, 2007 · A fast algorithm for ICA-R is proposed in this paper. An efficient implementation of ICA-R is achieved by pre-whitening the observed signals and by normalizing ...
ICA with reference (ICA-R) is a one-unit ICA algorithm capable of extracting an expected signal by using prior information. However, a drawback of ICA-R is that ...
A fast algorithm for ICA-R is proposed in this paper. An efficient implementation of ICA-R is achieved by pre-whitening the observed signals and by normalizing ...
TL;DR: A fast one-unit ICA-R algorithm is derived through (1) pre-whitening the observed signals; and (2) normalizing the weight vector that reduces the ...
1. DOI - Is supplement to A Novel Algorithm for Independent Component Analysis with Reference and Methods for Its ApplicationsView PDF ...
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Thus we may estimate an over-complete basis by using one-unit ICA algorithms and forcing only partial decorrelation between the different independent components ...
In this paper, a fast one-unit ICA-R algorithm is derived. The reduction of the computational complexity for the ICA-R algorithm is achieved through (1) pre ...
The FastICA algorithm and the underlying contrast functions have a number of desirable properties when compared with existing methods for ICA. 1. The ...
We conclude that the FastICA algorithm with the optimum non- linearity is asymptotically efficient in two cases: 1) one-unit ver- sion for and 2) symmetric ...