StiefelGen proposes a novel approach to time series data augmentation by leveraging the Stiefel manifold, allowing for precise control over signal perturbations. The method offers flexibility in emphasizing noise or basis function deformations, tailored to specific data generation needs.
Proposing a methodology for time series data augmentation using the Stiefel manifold to address limitations in existing approaches.