Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.

Several important multivariate probability inequalities can be formulated in terms of multivariate convolutions of the form ∫ $f_{1}(x)f_{2}(x-\theta )dx$, where ...

This code example demonstrates the convolution theorem with the use of the Complex Fast Fourier Transform (FFT), complex-by-complex multiplication, and support functions, which are part of the ...