The FastICA algorithm is one of the most prominent methods to solve the problem of linear independent component analysis (ICA). Although there have been several attempts to prove local convergence ...

This paper proposes an n-dimensional Simplex FastICA (FICA), an accelerated and low complex architectural design methodology for FICA to attain high computation speed targeted for resource-constrained ...

Picard is an algorithm for maximum likelihood independent component analysis. It shows state of the art speed of convergence, and solves the same problems as the widely used FastICA, Infomax and ...

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The signals were manually cleaned to eliminate artifacts and noise that resulted from movements or improper electrode-skin contact. Any noisy channel was spherically interpolated. To decrease the ...

In this paper, we compare the performance of five prominent neural or adaptive algorithms designed for Independent Component Analysis (ICA) and blind source separation (BSS). In the first part of the ...