代码搜索:小电阻
找到约 10,000 项符合「小电阻」的源代码
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www.eeworm.com/read/363686/9940168
m example2_5_1.m
load noisdopp; %装载信号
s = noisdopp;
[swa,swd] = swt(s,1,'db1'); %完成信号的单尺度一维离散平稳小波分解
whos
figure(1);
subplot(1,2,1), plot(swa); %显示低频和高频部分
title('Approximation cfs')
subplot(1,2,2), plot(swd);
www.eeworm.com/read/363428/9951934
c main.c
//CD WXL 电池板开关小灯
#include
#define uint unsigned int
#define uchar unsigned char
#define ON 0 //LED状态
#define OFF 1
//定义控制灯的端口
#define RLED P1_0 //定义LED1为P10口控制
#defi
www.eeworm.com/read/166938/9988461
m waveletpacket_decomposition.m
% 当前的扩展模式是zero-padding
%装载信号
load leleccum;
x = leleccum;
figure(1);
subplot(211);
plot(x);
title('原始信号');
% 使用db2小波包对信号x进行3层分解
%使用Shannon熵
wpt = wpdec(x,3,'db2');
plot(wpt)
% 计算结点
www.eeworm.com/read/166938/9988475
m signal_compression1.m
load nelec;
indx = 1:1024;
x = nelec(indx);
%用小波函数haar对信号进行3层分解
[c,l] = wavedec(x,3,'haar');
alpha = 1.5;
%获取信号压缩的阀值
[thr,nkeep] = wdcbm(c,l,alpha)
%对信号进行压缩
[xd,cxd,lxd,perf0,perf
www.eeworm.com/read/362220/10011853
m program_14_06.m
% 使用Haar小波,得到相应的提升方案
lshaar = liftwave('haar');
% 添加ELS 到提升方案
els = {'p',[-0.125 0.125],0};
lsnew = addlift(lshaar,els);
% 对于简单信号,尺度为1进行LWT
x = 1:8;
[cA,cD] = lwt(x,lsnew)
% 对上面的信号,进行整数LWT
ls
www.eeworm.com/read/362220/10011859
m program_14_09.m
% 使用Haar小波,得到相应的提升方案
lshaar = liftwave('haar');
% 添加ELS 到提升方案
els = {'p',[-0.125 0.125],0};
lsnew = addlift(lshaar,els);
% 对于简单图像,尺度为2进行LWT
x = reshape(1:16,4,4);
xDec = lwt2(x,lsnew,2)
% 提取第1
www.eeworm.com/read/362220/10011863
m program_14_11.m
% 使用Haar小波,得到相应的提升方案
lshaar = liftwave('haar');
% 添加ELS 到提升方案
els = {'p',[-0.125 0.125],0};
lsnew = addlift(lshaar,els);
% 对于简单图像,尺度为1进行LWT
x = reshape(1:16,4,4);
[cA,cH,cV,cD] = lwt2(x,lsnew);
www.eeworm.com/read/362220/10011866
m program_14_10.m
% 使用Haar小波,得到相应的提升方案
lshaar = liftwave('haar');
% 添加ELS 到提升方案
els = {'p',[-0.125 0.125],0};
lsnew = addlift(lshaar,els);
% 对于简单信号,尺度为1进行LWT
x = 1:8;
[cA,cD] = lwt(x,lsnew);
% 对上面的信号,进行整数LWT
l
www.eeworm.com/read/362220/10012011
m program_13_23.m
%装载源信号
load noisbump;
s=noisbump(1:1000);
figure(1);
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);
[sc,treed,perf0,perfl2]
www.eeworm.com/read/359229/10160562
m example7_4.m
%给定一个原始图像
load geometry;
nbcol=size(map,1);
colormap(pink(nbcol));
figure(1);
image(wcodemat(X,nbcol));
title('原始图像');
%================================
%设置延拓模式为补零方式,对图像应用小波sym4进行3层分解,然后重构第3层近