Algorithm Unrolling Network With Learnable Sparse Regularization for Interpretable Mechanical Anomaly Detection

Sparse representation-based interpretable algorithm unrolling is one of promising techniques for mechanical anomaly detection. In order to enhance the learning and representation capabilities of the algorithm unrolling model, this article proposes a learnable sparse regularization network (LSR-Net).... View More