app1.m

内含用神经网络进行信号处理的两个实例

clear all;
time=0.01:0.01:10;
noise=(rand(1,1000)-0.5)*4;
input=sin(time);
p=noise;
t=input+noise;
net=newlin([-1,1],1,0,0.0005);
net.adaptParam.passes=70;
[net,y,output]=adapt(net,p,t);
hold on
subplot(3,1,1);
plot(time,input,'b');
xlabel('t','position',[10.5,-1]);
ylabel('信号波形sin(t)','fontsize',8)
subplot(3,1,2);
plot(time,t,'m');
xlabel('t','position',[10.5,-5]);
ylabel('随机噪声波形sin(t)+noise(t)','fontsize',8)
subplot(3,1,3);
plot(time,output,'y');
xlabel('t','position',[10.5,-2]);
ylabel('输出信号波形y(t)','fontsize',8)
hold off