I'm working with a signal right now, that after applying the transfer function should be attenuated and shifted to the right. The initial signal shows the signal assuming it's at an infinite frequency - so no attenuation or dispersive effects. The bottom subplot is after taking the FFT of the initial signal. I need to have it so that the bottom signal is attenuated and shifted correctly, but right now, although the signal is attenuated, it starts at the same x-value that the initial signal does. I've been working on this for about a week now, to no avail.
I'm using the np.fft.rfft() function as well as its inverse np.fft.irfft() to return to time domain. I checked out the frequencies being used to generate these plots (np.fft.rfftfreq()) which assumes the spacing between each frequency bin is 1. Changing that just made my graph look like a nightmare. I'm wondering if anyone here has any experience with working with these functions or can provide any insight into how I may be able to shift the orange plot horizontally. A huge thank you in advance!
Edit: Here's the images!
Note that the blue (initial) signal starts at the same place as the orange (attenuated) signal does.
Here's what happens if I change the default step size for np.fft.rfftfreq().
