Analytical integration-based causality checking of tabulated S-parameters

Causality of tabulated data is detected by checking for Hilbert-consistency between data's real and imaginary parts. This consistency can be robustly checked if the generalized Hilbert transform is used. Existing algorithms evaluate an integral in this transform numerically. In this paper, a new algorithm for checking causality that involves only analytical integration is presented.