How to calculate energy of each audio signal(dataset) decomposed using emprical wavelet transform and use the signal with most highest energy for further feature extraction

Hi, I have vibration or sound signal that I am going to use for classification using machine learning and deep learning.but the problem is I want to use emperical wavelet transform for the signal decomposition. I want to calculate the energy of each decomposed signal using empirical wavelet transform and compare the energy to use the signal with highest most energy for further feature extraction and classufication using machine learning.please any one who could help me in coding this one.thank you in advance for your help.

Answer 1

[Sharmin Kibria]

You can use ewt function in wavelet toolbox to calculate the signal projection at different frequency band.

https://www.mathworks.com/help/wavelet/ref/ewt.html

Based on the mra you can calculate and compare the energy at different level.