Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options questions only not deleted user 3666

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
16k views

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. …
fpe's user avatar
  • 627
3 votes
0 answers
150 views

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
fpe's user avatar
  • 627
3 votes
3 answers
3k views

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
fpe's user avatar
  • 627