A transfer learning based SSVEP classification algorithm
% X_tar: training data of target domain (target * channel * sample * block )
% X_src: training data of source domain( target * channel * sample * block * source)
% fs： sampling rate
% freq: frequency list of stimuli
% phase: phase list of stimuli
% num_fbs: number of filter bank
% test_data: test data of target domain (target * channel * sample )\
model = TransRCA_train(X_tar,X_src,fs,freq_list,phase_list,num_fbs);
[results, rho_final, results_6r] = TransRCA_test_fast(test_data,model,is_ensemble);