Figure Properties - SERC

fftw
2-760
This tells you that it takes approximately 1/1000 of a second to execute
fft(y, 1458) a single time.
For comparison, set 'planner' to 'patient'. Since this 'planner' explores
possible algorithms more thoroughly than 'patient', the first time you run
fft, it takes longer to compute the results.
fftw('planner','patient')
tic;Y = fft(y,1458);toc
Elapsed time is 0.130000 seconds.
However, the next time you call fft, it runs approximately 10 times faster than
it when you use the method 'measure'.
tic;for k=1:1000
Y=fft(y,1458);
end;toc
Elapsed time is 0.080000 seconds.
Reusing Optimal FFT Algorithms
In order to use the optimized FFT algorithm in a future MATLAB session, first
save the “wisdom” using the command
str = fftw('wisdom')
You can save str for a future session using the command
save str
The next time you open MATLAB, load str using the command
load str
and then reload the “wisdom” into the FFTW database using the command
fftw('wisdom', str)
See Also fft, fft2, fftn, ifft, ifft2, ifftn, fftshift.