Builds a classifier based on AAR parameters from BCI recordings. The result includes also initial values for the next run. CC=make_cc(fn,eegchan,trigchan,Fs) e.g. CC=make_cc('x21fb*') CC=make_cc({'x21fb1.mat','x21fb2.mat'}) CC=make_cc(fn,[1,3],4,128) default: eegchan=[1,3]; trigchan=4; Fs=128; References: [1] Schl�l A., Neuper C. Pfurtscheller G. (2002) Estimating the mutual information of an EEG-based Brain-Computer-Interface. Biomedizinische Technik 47(1-2): 3-8, 2002 [2] A. Schl�l, C. Keinrath, R. Scherer, G. Pfurtscheller, (2003) Information transfer of an EEG-based Bran-computer interface. Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering, Capri, Italy, Mar 20-22, 2003. [3] A. Schl�l, D. Flotzinger and G. Pfurtscheller (1997) Adaptive Autoregressive Modeling used for Single-trial EEG Classification Biomedizinische Technik 42: (1997), 162-167. [4] A. Schl�l, C. Neuper and G. Pfurtscheller (1997) Subject-specific EEG pattern during motor imagery Proceedings of the 19th Annual International Conference if the IEEE Engineering in Medicine and Biology Society , vol 19, pp.1530-1532, 1997. [5] A. Schl�l, K. Lugger and G. Pfurtscheller (1997) Using Adaptive Autoregressive Parameters for a Brain-Computer-InterfaceExperiment, Proceedings of the 19th Annual International Conference if the IEEE Engineering in Medicine and Biology Society ,vol 19 , pp.1533-1535, 1997.