Mohammed Terry-Jack

Differentiable learning of sparse lossless Fourier filters

This work provides the first practical framework for learning lossless Fourier-domain filters at scale by reframing a hard combinatorial problem as a differentiable learning task by reformulating the hard combinatorial problem as a differentiable optimization task.