Abstract: In this paper, we present a new approach to improve direction-of-arrival estimation for uniform linear arrays (ULA) using deep learning. We propose to denoise the array covariance matrix ...

🔥 Aug 2025: We released VisionTS++, a SOTA time series foundation model by continual pretraining visual MAE on large-scale time series data, supporting multi-channel forecasting and probablistic ...

Abstract: Autoencoders represent a significant category of deep learning models and are widely utilized for dimensionality reduction. However, standard Autoencoders are complicated architectures that ...