# Feature Extraction for classification

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#### BMWE

##### Member level 2
I'm doing a project dealing with classification
I have database of 4 classes each class have number of samles
you can see the database here (matlab files - smps parameter): http://www.ee.bgu.ac.il/~bezenchu/detectionDB/

I've been asked to identify the features visually and then to estimate the distribution for each class. also it says that i can assume that the features vector is Gaussian.

i need help to identify the features and how to find the distribution function for each class.

I've guess about the features, but i don't know how letter to measure them
if i pass the data through the filter
Code:
BPfilter = fdesign.bandpass(.40,.47,.53,.60,80,1,80);
BandPassFilt = design(BPfilter, 'equiripple');
i get something similar to speech.

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