matlab练习程序（生成多维高斯分布概率密度函数）

clear all;
close all;
clc;

randn(seed,0);
%%一维高斯函数
mu=0;
sigma=1;
x=-6:0.1:6;
y=normpdf(x,mu,sigma);
plot(x,y);
figure;

%%二维或多维高斯函数
mu=[0 0];
sigma=[0.3 0;0 0.35];
[x y]=meshgrid(linspace(-8,8,80),linspace(-8,8,80));
X=[x(:) y(:)];
z=mvnpdf(X,mu,sigma);
surf(x,y,reshape(z,80,80));
hold on;
%再生成一个
mu=[4 0];
sigma=[1.2 0;0 1.85];
[x y]=meshgrid(linspace(-8,8,80),linspace(-8,8,80));
X=[x(:) y(:)];
z=mvnpdf(X,mu,sigma);
surf(x,y,reshape(z,80,80));

clear all; close all; clc; randn(seed,0); %%一维高斯函数 mu=0; sigma=1; x=-6:0.1:6; y=normpdf(x,mu,sigma); plot(x,y); figure; %%二维或多维高斯函数 mu=[0 0]; sigma=[0.3 0;0 0.35]; [x y]=meshgrid(linspace(-8,8,80),linspace(-8,8,80)); X=[x(:) y(:)]; z=mvnpdf(X,mu,sigma); surf(x,y,reshape(z,80,80)); hold on; %再生成一个 mu=[4 0]; sigma=[1.2 0;0 1.85]; [x y]=meshgrid(linspace(-8,8,80),linspace(-8,8,80)); X=[x(:) y(:)]; z=mvnpdf(X,mu,sigma); surf(x,y,reshape(z,80,80));

clear all; close all; clc; randn(seed,0); %%一维高斯函数 mu=0; sigma=1; x=-6:0.1:6; y=normpdf(x,mu,sigma); plot(x,y); figure; %%二维或多维高斯函数 mu=[0 0]; sigma=[0.3 0;0 0.35]; [x y]=meshgrid(linspace(-8,8,80),linspace(-8,8,80)); X=[x(:) y(:)]; z=mvnpdf(X,mu,sigma); surf(x,y,reshape(z,80,80)); hold on; %再生成一个 mu=[4 0]; sigma=[1.2 0;0 1.85]; [x y]=meshgrid(linspace(-8,8,80),linspace(-8,8,80)); X=[x(:) y(:)]; z=mvnpdf(X,mu,sigma); surf(x,y,reshape(z,80,80));