- User passes an array (or numpy array) of data from pre-process module into Features() class
- call functions in Features() class to get summary statistics
- For instance, suppose the array of data is stored as arr, then to get all relavant summary statistics (like mean, median, mode...etc), simply call Features(arr).summarize()
- root_mean_square(): Calculate root mean squared value of an array of data
- energy(): calculate energy of a time domain data over a given interval, passed as an array of data
- average_power(): calculate the average power of an array of data over a given interval