>> % 文件名e_gauss.m
% 高斯曲线
clear;
a=0;sigma=1;
x=-10:0.0001:10;
y=(1/((sqrt(2*pi))*sigma))*exp(-((x-a).^2)/(2*sigm a.^2));
plot(x,y);
xlabel('变量x');
ylabel('幅值(y)');
title('正态分布的概率密度（高斯曲线）');
>> % 文件名e_gauss.m
% 高斯曲线
clear;
a=0;sigma=3;
x=-10:0.0001:10;
y=(1/((sqrt(2*pi))*sigma))*exp(-((x-a).^2)/(2*sigm a.^2));
plot(x,y);
xlabel('变量x');
ylabel('幅值(y)');
title('正态分布的概率密度（高斯曲线）');
>> % 文件名e_gauss.m
% 高斯曲线
clear;
a=3;sigma=1;
x=-10:0.0001:10;
y=(1/((sqrt(2*pi))*sigma))*exp(-((x-a).^2)/(2*sigma .^2));
plot(x,y);
xlabel('变量x');
ylabel('幅值(y)');
title('正态分布的概率密度（高斯曲线）');
>> clear;
a2=0;sigma2=1;
x2=-10:0.0001:10;
y2=(1/((sqrt(2*pi))*sigma2))*exp(-((x2-a2).^2)/(2*sigma2.^2)); subplot(3,1,1);plot(x2,y2,'b');
a3=6;sigma3=1;
x3=-10:0.0001:10;
y3=(1/((sqrt(2*pi))*sigma3))*exp(-((x3-a3).^2)/(2*sigma3.^2)); subplot(3,1,2);plot(x3,y3,'g');
a1=-6;sigma1=1;
x1=-10:0.0001:10;
y1=(1/((sqrt(2*pi))*sigma1))*exp(-((x1-a1).^2)/(2*sigma1.^2)); subplot(3,1,3);plot(x1,y1,'r');
xlabel('变量x');
ylabel('幅值(y)');
title('正态分布的概率密度（高斯曲线）');
>> clear;
a2=0;sigma2=0.5;
x2=-10:0.0001:10;
y2=(1/((sqrt(2*pi))*sigma2))*exp(-((x2-a2).^2)/(2*sigma2.^2)); subplot(4,1,1);plot(x2,y2,'b');
a3=0;sigma3=1;
x3=-10:0.0001:10;
y3=(1/((sqrt(2*pi))*sigma3))*exp(-((x3-a3).^2)/(2*sigma3.^2)); subplot(4,1,2);plot(x3,y3,'g');
a1=0;sigma1=2;
x1=-10:0.0001:10;
y1=(1/((sqrt(2*pi))*sigma1))*exp(-((x1-a1).^2)/(2*sigma1.^2)); subplot(4,1,3);plot(x1,y1,'r');
a4=0;sigma4=4;
x4=-10:0.0001:10;
y4=(1/((sqrt(2*pi))*sigma4))*exp(-((x4-a4).^2)/(2*sigma4.^2)); subplot(4,1,4);plot(x4,y4,'y');
xlabel('变量x');
ylabel('幅值(y)');
title('正态分布的概率密度（高斯曲线）');
>> clear;
a1=-6;sigma1=1;
x1=-10:0.0001:10;
y1=(1/((sqrt(2*pi))*sigma1))*exp(-((x1-a1).^2)/(2*sigma1.^2)); a2=0;sigma2=1;
x2=-10:0.0001:10;
y2=(1/((sqrt(2*pi))*sigma2))*exp(-((x2-a2).^2)/(2*sigma2.^2)); a3=6;sigma3=1;
x3=-10:0.0001:10;
y3=(1/((sqrt(2*pi))*sigma3))*exp(-((x3-a3).^2)/(2*sigma3.^2)); plot(x1,y1,'g',x2,y2,'r',x3,y3,'b');
xlabel('变量x');
ylabel('幅值(y)');
title('正态分布的概率密度（高斯曲线）');
>> clear;
a1=0;sigma1=0.5;
x1=-10:0.0001:10;
y1=(1/((sqrt(2*pi))*sigma1))*exp(-((x1-a1).^2)/(2*sigma1.^2)); a2=0;sigma2=1;
x2=-10:0.0001:10;
y2=(1/((sqrt(2*pi))*sigma2))*exp(-((x2-a2).^2)/(2*sigma2.^2)); a3=0;sigma3=2;
x3=-10:0.0001:10;
y3=(1/((sqrt(2*pi))*sigma3))*exp(-((x3-a3).^2)/(2*sigma3.^2)); a4=0;sigma4=4;
x4=-10:0.0001:10;
y4=(1/((sqrt(2*pi))*sigma4))*exp(-((x4-a4).^2)/(2*sigma4.^2)); plot(x1,y1,'g',x2,y2,'r',x3,y3,'b',x4,y4,'y');
xlabel('变量x');
ylabel('幅值(y)');
title('正态分布的概率密度（高斯曲线）');。