I am currently working on some signal processing techniques involving time-frequency analysis. Most of the cases, researchers are plotting the scalogram and feeding it as an image to train a pretrained CNN network by transfer learning process. Is there any way to train the network using some standard statistical features (e.g. mean, std, kurtosis, skewness etc.) instead of using the image of the scalogram? I am new in the field of deep learning so it will be much help if anyone can give any recommendation.
Thanks in advance.