how to generate a Gaussian white noise with a mean of zero inside ODE function

Hi,

I am new to the matlab, I am trying to generate a Gaussian white noise with a mean of zero ranging from -0.03 to 0.03 like the attached photo, inside an ODE function.

I was using

White_noise= wgn(1,1,0);

but i don't think it is correct! should i used randn istead?

my code

function dydt = surfeq(t,y)

no=0.1;
n00=0.011;
v=80*1000/3600;
gq=1024;

white_noise= wgn(1,1,0);
%noise = rand(1);


x = 2*pi*no*sqrt(gq*v)*white_noise;
 
dydt = -2*pi*n00*v*y(1)+x;

Answer 1

[Sai Sri Pathuri]

You are using correct function to generate white gaussian noise samples. However, you may not create white gaussian noise within a given range. As a workaround, you may follow below procedure.

% Create a vector of wgn samples
white_noise = wgn(1000,1,0);
j = 1;

% Get the samples within required range
for i = 1:1000
    if white_noise(i) >= -0.03 && white_noise(i) <= 0.03
        white_noise_inRange(j) = white_noise(i);
        j = j+1;
    end
end

[SALEH ALHUMAID]

thanks for your help, but when I plot the (white_noise_inRang) i get few results, only 29 datas?

Answer 2

[Sai Sri Pathuri]

Try to use more samples (n) of white_noise such that you get desired number of samples within range -0.03 to 0.03

white_noise = wgn(n,1,0);