The forward transform is triggered by -1 and takes the time-signal as a row vector:
[Y] = fftmodule(y,-1)
The inverse transform auto-normalizes by N, is triggered by 1 and takes the frequency-signal as a row vector:
[y] = fftmodule(Y,1)
**This matches the syntax used by MATLAB
Ryan Black (2019). Rader's / Mixed-Radix FFT (https://www.mathworks.com/matlabcentral/fileexchange/70563-rader-s-mixed-radix-fft), MATLAB Central File Exchange. Retrieved .
Actually removed hyperlink this time.
Title change and removal of outdated website link.
Performance Time Regularization Image
Optimized Rader's indexing.