代码搜索：光信号检测
找到约 10,000 项符合「光信号检测」的源代码
代码结果 10,000
www.eeworm.com/read/402141/2332745
m conv_example.m
%conv_example.m
%计算卷积的例子
u = ones(1,15); %阶跃信号
v = zeros(1,25);
v(5:25) = 0:1/20:1; %线性信号
w=conv(u,v); %卷积
subplot(3,1,1); %画
www.eeworm.com/read/402141/2332747
m fliter_example.m
%filter_example.m
%对带噪声的正弦信号进行平均值滤波
t=0:0.1:10; %时间
n = 6*randn(size(t)); %高斯白噪声
x = 40*sin(t)+n; %在正弦信号中添加噪声
a = 1;
www.eeworm.com/read/384950/2596085
m conv_example.m
%conv_example.m
%计算卷积的例子
u = ones(1,15); %阶跃信号
v = zeros(1,25);
v(5:25) = 0:1/20:1; %线性信号
w=conv(u,v); %卷积
subplot(3,1,1); %画
www.eeworm.com/read/384950/2596087
m fliter_example.m
%filter_example.m
%对带噪声的正弦信号进行平均值滤波
t=0:0.1:10; %时间
n = 6*randn(size(t)); %高斯白噪声
x = 40*sin(t)+n; %在正弦信号中添加噪声
a = 1;
www.eeworm.com/read/378175/2689879
m example6_12.m
y=linspace(.1,1,100);
thr=0.28;
ythard=wthresh(y,'h',thr);
ytsoft=wthresh(y,'s',thr);
subplot(2,2,1);
plot(y);
title('原始信号');
subplot(2,2,3);
plot(ythard);
title('硬阈值信号');
s
www.eeworm.com/read/378175/2689881
m example6_16.m
%装载信号
load leleccum;
%============================
%截取信号中的一段[2600，3100]
s=leleccum(2600:3100);
%============================
%用小波db3对s进行三层分解
[c,l]=wavedec(s,3,'db3');
%==================
www.eeworm.com/read/378175/2689884
m example6_17.m
%装载源信号
load noisbump;
s=noisbump(1:1000);
subplot(2,1,1);
plot(s);
title('原始信号');
%==============================
%采用默认阈值，以小波包函数wpdencmp对s进行压缩处理
[thr,sorh,keepapp,crit]=ddencmp('cmp','wp',s);
www.eeworm.com/read/378175/2689889
m example6_15.m
%装载原始信号并图示之
load noismima;
s=noismima(1:1000);
subplot(2,2,1);
plot(s);
title('原始信号');
%==============================
%采用默认阈值、用wdencmp函数进行消噪处理
[thr,sorh,keepapp,crit]=ddencmp('den','wp',s);
www.eeworm.com/read/373767/2759391
c main.c
/****************************************************************
程序功能：将MCU片内的MCLK,SMCLK和ACLK三个信号转换成5V电平信号
-----------------------------------------------------------------
测试说明：用户可以用示波器测量连接器P7的第6、
www.eeworm.com/read/367675/2832823
m example6_12.m
y=linspace(.1,1,100);
thr=0.28;
ythard=wthresh(y,'h',thr);
ytsoft=wthresh(y,'s',thr);
subplot(2,2,1);
plot(y);
title('原始信号');
subplot(2,2,3);
plot(ythard);
title('硬阈值信号');
s