We consider theoretical and computational issues related to operator regression and how to design deep neural networks (DNNs) that could represent accurately linear and nonlinear operators, mapping ...

Here we derive from the underlying mathematical foundation and propose a new class of spectrometer, which harnesses the convolution theorem, one of the most fundamental principles in signal processing ...