Paper accepted to IEEE JSTSP

Our paper entitled Model-based learning for multi-antenna multi-frequency location-to-channel mapping has just been accepted to the IEEE Journal of Selected Topics on Signal Processing ( Editor link). It shows that a physically-inspired neural network can faithfully reconstruct channel responses in a given environment with a reasonable number of learnable weights. Congrats to Baptiste for this solid work!