kernel adaptive algorithm is an extension of adaptivealgorithm in nonlinear,and widely used in the field of non-stationary signal *** the distribution of classic data sets seems relatively regular and simple in time ...
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kernel adaptive algorithm is an extension of adaptivealgorithm in nonlinear,and widely used in the field of non-stationary signal *** the distribution of classic data sets seems relatively regular and simple in time *** distribution of the electroencephalograph(EEG)signal is more randomness and non-stationarity,so online prediction of EEG signal can further verify the robustness and applicability of kerneladaptive ***’s more,the purpose of modeling and analyzing the time series of EEG signals is to discover and extract valuable information,and to reveal the internal relations of EEG *** time series prediction of EEG plays an important role in EEG time series *** this paper,kernel RLS tracker(KRLST)is presented to online predict the EEG signals of motor imagery and compared with other 13 kerneladaptive *** experimental results show that KRLST algorithm has the best effect on the brain computer interface(BCI)dataset.
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