Feature Attention Based Blind Denoising Network for mmWave Beamspace Channel Estimation
Author:
Affiliation:
1. Texas A&M University at Qatar,Department of Electrical and Computer Engineering,Doha,Qatar
2. HİSAR Lab. @Informatics and Information Security Research Center (BİLGEM), TÜBİTAK,Kocaeli,Turkey
Funder
Qatar National Research Fund
Qatar Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10008390/10008474/10008723.pdf?arnumber=10008723
Reference15 articles.
1. Image Super-Resolution Using Very Deep Residual Channel Attention Networks
2. Deep Residual Learning for Image Recognition
3. Near-Optimal Beam Selection for Beamspace MmWave Massive MIMO Systems
4. Spatially sparse precoding in millimeter wave mimo systems;el ayach;IEEE Transactions on Wireless Communications,2014
5. Real Image Denoising With Feature Attention
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