So I was doing some homework on diffraction in Python with Numpy. My results simpl开发者_开发百科y wouldn\'t turn out how they should have, and I was confused.
I\'ve been working with images in the frequency domain (by taking the DFT or FFT of an image) and I know that convolution in the space domain is multiplication in the frequency.
I am trying to utilize Numpy\'s fft function, however when I give the function a simple gausian function the fft of that gausian function is not a gausian, its close but its halved so that each half i
Here is a short video of my results The sound is horrible, but please bear with me. To me, that looks a little strange. Whats with the massive spike on the first few bins? Whats the deal with the non
I am trying to find the fourier transform of an image in matlab. I am doing this without the hep of the library function. The code is:
I have a group of related questions regarding FFTW and audio analysis on Linux. What is the easiest-to-use, most comprehensive audio library in Linux/Ubuntu that will allow me to decode any of a var
I\'m developing a kind of guitar tuner. I have a function that gives me the FFT, and the values of the FFt for each frequency.
I am currently using FFT / other spectral analysis algorithms in order to analyse sound from the iphone\'s
I googled this topic and didn\'t find anything new. I am aware of Nvidia\'s FFT implementation which is great, but for CUDA only. AMD just released their implementation, but it doesn\'t work on Nvidia
I am trying to figure out how to use the batch mode offered in the CUFFT library. I basically have an image that is 5300 pixels wide and 3500 tall. Currently this means I am running 3500 1D FFT\'s on
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