Deep Learning Approach Based on Tensor-Train for Sparse Signal Recovery
Deep Learning Approach Based on Tensor-Train for Sparse Signal Recovery
Compressive sensing is a desirable technique to acquire and reconstruct signals at sub-Nyquist rates. Recently, several deep learning-based studies on solving the compressive sensing problem have been carried out, which dramatically reduce the intensive computational complexity of the traditional greedy or convex recovery algorithms and even improve the signal recovery …