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The gaussian function, an exponential function with a negative square of the argument in the exponent, is interesting in signal processing because the Fourier Transform of a gaussian function is also a gaussian function.
3
votes
1
answer
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Fit data to Gaussian distribution
I want some data to fit the corresponding Gaussian distribution. … The data is meant to be Gaussian already, but for some filtering reasons, they will not perfectly match the prescribed and expected Gaussian distribution. …
3
votes
0
answers
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Compensate for standard deviation loss
This wind field is generally a Gaussian process with all the time series having 0 mean value and unitary standard deviation. … space discretization introducing smoothing effects
time sample period
power spectrum only within a short frequency range
Btw, I would like to, let's say, scale the time series in order they to be still Gaussian …
3
votes
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answers
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Gaussian random generator
Now, the best way to approach the above mentioned gaussian bell is to generate quite a large number of samples. … first generating a larger set of samples or more subsets of the same size (as 10 times 2048 samples) and then pick those 2048 which approximate the best for desired mean and standard deviation (and the gaussian …