%% Basic Signal Augmentation
% Developed by Seyed Muhammad Hossein Mousavi - July 2023
% Augmentations include Time shifting, Amplitude scaling, and Random Gaussian noise It
% applies to a simple self-made dataset with 22 samples and 5 features in three classes
% which you can change it. KNN is used as a classifier for both original and (augmented)
% synthetic data. For the original dataset, there is cross-validation by 30-70
% train test data split, and for augmented data, train in on whole augmented data and test
% is on the whole original dataset.
