代码搜索:小电阻

找到约 10,000 项符合「小电阻」的源代码

代码结果 10,000
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