Simple Signal Data Augmentaion
SimpleSignalDataAugmentaion
%% 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.
引用格式
S. Muhammad Hossein Mousavi (2024). Simple Signal Data Augmentaion (https://github.com/SeyedMuhammadHosseinMousavi/SimpleSignalDataAugmentaion), GitHub. 检索来源 .
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版本 | 已发布 | 发行说明 | |
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1.0.0 |
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