Create a gaussian from x values
33 次查看(过去 30 天)
显示 更早的评论
Hello !
I have a 1x301 array (vector V) of equally sparsed values generated with linspace(0,1,301) and I would like to create a gaussian from those values.
The gaussian should be centered on the middle of the vector V and the central value generated by the gaussian should be 1 (the sigma, spread, is not important).
I tried several ways to do it but I can't manage to obtain a bell curve distribution of Y values over my X axis.
So far I had:
V = linspace(0,L,301)
sigma = 1;
nu = V(length((V-1)/2));
x = V-nu;
T0 = (1/(sigma*sqrt(2)))*exp(-((1/2)*((x/sigma).^2)));
What should I write instead ? It feels like it comes from my gaussian expression.
Thank you in advance !
0 个评论
采纳的回答
Vladimir Sovkov
2020-1-11
L=20;
V = linspace(0,L,301);
sigma = L/20;
T0 = exp(-((V-mean(V))/sigma).^2/2);
plot(V,T0);
4 个评论
Vladimir Sovkov
2020-1-11
The step in L (=L/300 in your case) should be smaller than sigma (at least, about 5 or more times smaller). If the step was too big, the significant part of the plot could occur somewhere between the knots, and you would just miss it in the graph. If L was smaller than ~6*sigma, you would only see a narrow central part of the Gaussian, which is not definitely satisfying. If L was too big compared to sigma, the Gaussian would be located in a very narrow central range, and you would have to zoom in in order to see it.
更多回答(0 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!