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): **broken link removed**
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
i get something similar to speech.
I have database of 4 classes each class have number of samles
you can see the database here (matlab files - smps parameter): **broken link removed**
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');