Closed laroque closed 9 years ago
Note that the lorentzian filter seems to have a much stronger response (amplitude of the overlap is 2-4 times as large as a gaussian target function). The large tails do result in the filter response being more than zero over a decent fraction of the frequency range, but the highest features appear to increase by a significantly smaller factor than the signal itself, so I expect that these results are more robust.
I've merged these changes into develop. The dpph script could still use quite a bit of cleanup, but since it is working I'm going to leave that very low on the todo-list.
Currently the dpph script makes some hard-coded assumptions about the resonance width and also lock-in sampling.
It would be better if: