Luc Le Magoarou
Luc Le Magoarou
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Manifolds;Computers;Array signal processing;Neural networks;Downlink;Uplink;Task analysis;channel charting;cell-less network;dimensionality reduction;MIMO signal processing;machine learning
Jul 21, 2023
Channel estimation;Neural networks;Manifolds;Signal to noise ratio;Matching pursuit algorithms;Estimation;Analytical models;MIMO channel estimation;sparse recovery;matching pursuit (MP);neural network;deep unfolding;online learning;unsupervised learning
Jul 21, 2023
Wireless communication;Training;Dimensionality reduction;Deep learning;Conferences;Neural networks;Signal processing;channel charting;triplet network;dimensionality reduction;MIMO signal processing;machine learning
Jul 21, 2023
Training;Deep learning;Base stations;Array signal processing;Conferences;Neural networks;Symbols
Jul 21, 2023
Task analysis;Fading channels;Dimensionality reduction;MIMO communication;Euclidean distance;Base stations;Uplink;Channel charting;dimensionality reduction;MIMO signal processing;machine learning
Jul 21, 2023
Training;Task analysis;Neural networks;Downlink;Uplink;Base stations;Kernel;Channel mapping;user positioning;neural networks;regression
Jul 21, 2023
Computers;Closed-form solutions;Transforms;Gaussian distribution;Bivariate Gaussian distribution;Digital communications;Signal processing;PSK
Jul 21, 2023
Channel estimation;Estimation;MIMO communication;Channel models;Covariance matrices;Noise measurement;Parametric statistics;Channel estimation;Cramér-Rao bound;parametric model
Jul 21, 2023
Channel estimation;Training;MIMO communication;Antennas;Channel models;Estimation;Covariance matrices;Channel sparsity;correlated fading;channel estimation;training design;compressive sensing;pilot contamination;performance bounds;massive MIMO
Jul 21, 2023
MIMO;physical models;channel estimation
Jul 21, 2023
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