71 citations · 129 across the 5 of their papers we have counts for
6 papers
Model-based learning for multi-antenna multi-frequency location-to-channel mapping
Baptiste Chatelier, Vincent Corlay, Matthieu Crussière +1
Years of study of the propagation channel showed a close relation between a location and the associated communication channel response. The use of a neural network to learn the loc…
Efficient channel charting via phase-insensitive distance computation
Luc Le Magoarou
Channel charting is an unsupervised learning task whose objective is to encode channels so that the obtained representation reflects the relative spatial locations of the correspon…
Similarity-based prediction for channel mapping and user positioning
Luc Le Magoarou
In a wireless network, gathering information at the base station about mobile users based only on uplink channel measurements is an interesting challenge. Indeed, accessing the use…
Channel estimation: unified view of optimal performance and pilot sequences
Luc Le Magoarou, Stéphane Paquelet
Channel estimation is of paramount importance in most communication systems in order to optimize the data rate/energy consumption tradeoff. In modern systems, the possibly large nu…
Approximate fast graph Fourier transforms via multi-layer sparse approximations
Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
The Fast Fourier Transform (FFT) is an algorithm of paramount importance in signal processing as it allows to apply the Fourier transform in O(n log n) instead of O(n 2) arithmetic…
Flexible Multi-layer Sparse Approximations of Matrices and Applications
Luc Le Magoarou, Rémi Gribonval
The computational cost of many signal processing and machine learning techniques is often dominated by the cost of applying certain linear operators to high-dimensional vectors. Th…