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2008
Springer

A new nonlinear similarity measure for multichannel signals

8 years 8 months ago
A new nonlinear similarity measure for multichannel signals
We propose a novel similarity measure, called the correntropy coefficient, sensitive to higher order moments of the signal statistics based on a similarity function called the cross-correntopy. Cross-correntropy nonlinearly maps the original time series into a high-dimensional reproducing kernel Hilbert space (RKHS). The correntropy coefficient computes the cosine of the angle between the transformed vectors. Preliminary experiments with simulated data and multichannel electroencephalogram (EEG) signals during behaviour studies elucidate the performance of the new measure versus the well-established correlation coefficient. c 2008 Elsevier Ltd. All rights reserved.
Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki,
Added 28 Jan 2011
Updated 28 Jan 2011
Type Journal
Year 2008
Where NN
Authors Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, Jose C. Principe
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