Description: * acousticfeatures.m: Matlab script to generate training and testing files from event timeseries.
* afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries.
* extractevents.m: Matlab script to extract event timeseries using the complete run timeseries and the ground truth/label information.
* extractfeatures.m: Matlab script to extract feature information from all acoustic and seismic event timeseries for a given run and set of nodes.
* sfm_mlpatterngen.m: Matlab script to extract feature information from esmic event timeseries.
* ml_train1.m: Matlab script implementation of the Maximum Likelihood Training Module.
?ml_test1.m: Matlab script implementation of the Maximum Likelihood Testing Module.
?knn.m: Matlab script implementation of the k-Nearest Neighbor Classifier Module.
- [BayesClassier] - Bayesian classifier, bayesian classifier
- [wave_clus] - wave cluster for biomedical signal proce
- [my_draw_01_20060207] - vc++ 6.0 drawing applet, cube renderings
- [knn] - knn k nearest neighbor, Euclidean distan
- [fxlms] - Active Noise Control Using a Filtered-X
- [KNN] - K nearest neighbor (KNN) of matlab sourc
- [DIPmatlab] - [matlab] DIP nearest neighbor interpolat
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