Frequency-Aware Augmentation and Alignment for Time Series Contrastive Learning
A framework of Frequency-Aware Augmentation and Alignment for Time Series Contrastive Learning (FACL), which comprises two key innovations, employs a novel frequency-structured augmentation mechanism based on wavelet transforms and introduces a multi-level contrastive objective that incorporates a subspace alignment st...