2 papers
math.NA2020
A postprocessing technique for a discontinuous Galerkin discretization of time-dependent Maxwell's equations
G. Nehmetallah, T. Chaumont-Frelet, S. Descombes +1
We present a novel postprocessing technique for a discontinuous Galerkin (DG) discretization of time-dependent Maxwell's equations that we couple with an explicit Runge-Kutta time-…
cs.CV2018
Deep learning approach to Fourier ptychographic microscopy
Thanh Nguyen, Yujia Xue, Yunzhe Li +2
Convolutional neural networks (CNNs) have gained tremendous success in solving complex inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct vid…