I have a measured time varying signal which is known to have a variable frequency response (I have freq vs. sensitivity data for the measurement device). I want to deconvolve using:
pt = ifft(fft(vt)./Mf)
where vt is the time varying signal and Mf is the frequency response.
I take the magnitude
abs(fft(vt))
and divide by the freq. vs. response curve Mf (interpolate to the same frequency range).
However if I set Mf=1 (for all values f=0 to n MHz) I don't get the original signal vt when I do the ifft.
My understanding is I need to perform the division (fft(vt)./Mf) using the vt fft magnitude (since Mf is effectively freq. vs. magnitude data) but then use real/complex fft data for ifft to get the original signal but I'm unsure how to get this to work correctly.