Interpolating log-spaced data to obtain linear-spaced data

Interpolating log-spaced data to obtain linear-spaced data

Post by nikhilsarm » Sat, 05 Mar 2005 01:47:30


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
frequency points?

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,
Nikhil
 
 
 

Interpolating log-spaced data to obtain linear-spaced data

Post by One Usenet » Sat, 05 Mar 2005 04:24:22


There are methods for computing the Fourier transform of irregularly
sampled data that should work.

OUP