B-spline mutual information independent component analysis

Janett Walters-Williams, Yan Li · 2010

Mutual Information is one of the most natural criteria when developing independent component analysis (ICA). Although utilized to some level it has always been difficult to calculate. We present a new algorithm which utilizes a contrast function related to Mutual Information based on B-Spline functions. We compared this algorithm with benchmarked ICA algorithms such as FastICA, Infomax and JADE and found it to be very favourable with them in performance.

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