I have data that is a function of frequency. The frequency points are
defined in the logarithmic scale.
I need to perform an inverse Fourier transform on this data. However,
since the frequency points are not linearly-spaced, the results of this
operation are not accurate.
Is there an accurate interpolation algorithm that would give me data
for linearly-spaced frequency points, given data for log-scaled
Approaching the problem from a different angle: have you successfully
implemented your own version of a DFT function for log-spaced data?
Tips, pointers and any help are appreciated!
Thanks for your help,