Preventing the Gibbs phenomenon on a reverse FFT
i am currently filtering some data and ran into trouble, when filtering smaller frequencies from a large trend.The Reverse FFTs seem to have large spikes at the beginning and the ending. Here is the Data before and after filtering smaller frequencies.
How to remove motion blure from a given image in frequency domain?
I have read that if we have the PSF of a given image, using deconvolution we can reverse the distortion and get the original image.
I tried to do the same thing, however, I’m getting an image that looks like complete noise!
Why own FFT implementation return different to numpy.fft.fft results?
Hello i try to implement FFT (Fast Fourier Transform) with python. But it wrong?. It’s simple Cooley and Tukey algorithm.