Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
-
Updated
Nov 25, 2020 - Python
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]
(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays
(TIP 2022) Content-aware Scalable Deep Compressed Sensing [PyTorch]
[ECCV'24] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.
(Nature Communications Engineering 2024) Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratios [PyTorch]
Code for "ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems," Hanoi University of Industry Journal of Science and Technology, Sept. 2024.
Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection
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.
Add a description, image, and links to the deep-unfolding topic page so that developers can more easily learn about it.
To associate your repository with the deep-unfolding topic, visit your repo's landing page and select "manage topics."