A New Nonlinear Similarity Measure for Multichannel Biological Signals

Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, Jose C. Principe
2007 Neural Networks (IJCNN), International Joint Conference on  
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 crosscorrentopy. Crossorrentropy 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)
more » ... alogram (EEG) signals during behavior studies elucidate the performance of the new measure versus the well established correlation coefficient.
doi:10.1109/ijcnn.2007.4371273 dblp:conf/ijcnn/XuBCP07 fatcat:7qzsrfg6mrfajn7tjrx53gavui