Mikhail
  • Member for 9 years, 11 months
  • Last seen more than a month ago
convolution matrix for image scaling
2 votes

This can't be done as a convolution because some of the operations you mentioned are not linear. Additionally, convolution by definition (multiplication by a toplitz matrix) shouldn't ever change the ...

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FFT time domain average vs frequency bin average
2 votes

First, the FFT is an algorithm. The transform is called the Fourier Transform! It represents the histogram of the signals. In the discrete case, a high reading in the frequency domains means lots of ...

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HDR Imaging - Exposure Compensation
Accepted answer
0 votes

Here is one idea: Merge the HDR images per-pixel using known thresholds for saturation etc. The final image will have pixel values above 256. Apply a CLAHE (Contrast Limited Adaptive Histogram ...

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Finding amplitudes from FFT data of a 2D image
0 votes

This can be thought of a pitch detection problem, consider taking an auto-correlation of the image and finding the 1st zero crossing. This will tell you the frequency of the most prominent signal.

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Choosing the best measure for machine learning on a Spectrogram
-1 votes

When working with audio signals there are two tricks, first remove the DC from the spectrum and band-limit it to a reasonable size. If you are looking at 1000 point intervals only use a 30 point FFT. ...

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How does taking the absolute value of a complex signal reflect in the frequency domain?
-1 votes

Well the Fourier transform of the absolute value function exists: $-\frac{\sqrt{\frac{2}{\pi }}}{w^2}$ Source: FourierTransform[Abs[x], x, w]

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