dosha_logic
Newbie level 2
I have a classification problem, I have many nonstationary signals that I need to extract features from using wavelet packet (WP), my questions is how to extract features using wavelet, I did laready took the energy of wavelet coefficients as features but the performance of the classifier is not good because the feature vectore for each class look like the features vectors for the other classes, so how can I extract good features from wavelet, do I have to use all the levels in wavelet decomposition as I am currently using only the coefficints from the final level of decomposition.
Please help me with some ideas I am totally new in wavelet.
Please help me with some ideas I am totally new in wavelet.