How we can generate generate a noise signal from gauss distribution ??

30 vues (au cours des 30 derniers jours)
I want to generate a noise signal from gauss distribution ,whose mean is 'x' and variance is 'y'
Which formula and command should i use?

Réponse acceptée

Thiago Henrique Gomes Lobato
the randn function in matlab is a gaussian distribution with variance 1. So you can generate a gaussian with mean x and variance y as:
Samples = 10;
Noise = x+randn(Samples,1)*y;
  5 commentaires
Thiago Henrique Gomes Lobato
Sure, but what you actually want to see? Distribution shapes cannot be seen if you just plot the data, you need to plot the probability of the data, which is roughly the histogram counts times a constant. If you want that your noise data have a bell shape than you actually don't want a gaussian noise, but rather a signal that looks like a gaussian.
Sean Corby
Sean Corby le 16 Mar 2021
Why does MATLAB show random values that appear to go beyond the variance?

Connectez-vous pour commenter.

Plus de réponses (1)

Chuguang Pan
Chuguang Pan le 9 Fév 2020
This is a example for generating a bivariate normal distribusion which is a duplicate of MATLAB Documentation. Maybe it can help you.
Generate values from a bivariate normal distribution with specified mean vector and covariance matrix.
mu = [1 2]; %mean vector
sigma = [1 0.5; 0.5 2]; %covariance matrix
R = chol(sigma);
z = repmat(mu,10,1) + randn(10,2)*R
Here is the result. Maybe you will get a different result because of random.
z =
1.3271 3.3688
2.0826 3.3279
2.0061 2.9663
0.3491 3.3285
1.2571 3.3585
0.0556 1.8450
-0.3218 0.4258
1.9248 1.6005
1.0000 3.5770
0.9451 -0.1597

Produits


Version

R2015a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by