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For a 2D FFT (fft2), first do an "fftshift" to center the low frequency portion of the 2D FFT in the center of the matrix. Select this inner region and then do an inverse 2D FFT (ifft2) of the fftshifted result. The format of the result also needs to be 8-bit unsigned. The image below depicts the low frequency portion of the frequency domain of the image ...


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I may be a little confused by your question (intuitive dependency?) but I think these two sources will help you wrap your head around the relationship between levels in a DWT: https://mil.ufl.edu/nechyba/www/eel6562/course_materials/t5.wavelets/intro_dwt.pdf http://users.rowan.edu/~polikar/WTpart4.html I think one way to think of it is because a DWT can be ...


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If you can assure that the physical signal being measured by A has no detectable components above 50Hz, then you could take 1 every 10 samples. However, if you have CPU power available, it is much better to filter the signal (lowpass, with stop-band starting below 50Hz) before downsampling. This way, components above 50Hz won't be aliased down to your ...


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