I´m trying to low-pass filter a 1-Dimensional random signal using the 1D Fast Fourier Transform (FFT) component in Millipede. However, despite the FFT component seems to work, the Inverse FFT can´t reconstruct the original signal as expected. Please, note that the “Original Signal” and the “Inverse FT” graphs are not very similar either in the figure or in this simple test file: FFTfilter.gh (32.5 KB).
- Am I doing something wrong?
- Any alternative to Low-Pass filter a signal in GH?
Thanks a lot in advance!
PS: A low-pass filter is a natural way to control spatial resolution of random noise for some later application, e.g. to randomly perturb some structure for non-linear buckling analysis in Karamba.