How to normalise a FFT of a 3 variable function.
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I have this function:
input = exp(-((W-w_o).^2)/deltaW.^2).*exp(-(Kx.^2+Ky.^2)/(deltaK.^2)).*exp(1i.*sqrt((W/c).^2-(Kx.^2+Ky.^2)).*z(j));
this is then fourier transformed:
fourier = fftn(input)
I need to normalise it. Dividing it by length() is not giving good results. Could someone please help!
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Matt J
am 11 Jul. 2019
Bearbeitet: Matt J
am 11 Jul. 2019
To normalize so that the continuous Fourier transform is approximated, multiply by the sampling intervals, dT1*dT2*dT3
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