Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
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Updated
Nov 25, 2020 - Python
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
Self-Supervised Scalable Deep Compressed Sensing (IJCV 2024) [PyTorch]
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays
Content-aware Scalable Deep Compressed Sensing (TIP 2022) [PyTorch]
Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratios (Communications Engineering 2024) [PyTorch]
[ECCV'24] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.
Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection
Practical Compact Deep Compressed Sensing [PyTorch]
A recursive framework to enhance the efficiency of deep unfolding networks.
Source code for the results and simulations described in the paper "Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming".
Deep Unfolded Convolutional Dictionary Learning for motif discovery.
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