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/262288/11594424
m f12_7.m
%调频信号
for i=1:512
x(i)=sin(500*pi*i/1000+20*sin(20*pi*i/1000));
end
figure(1);
plot(1:length(x),x);
xlabel('样本序号 n');
ylabel('幅值 A');
% 3层haar小波包
wpt = wpdec(x,3,'haar');
%最优基
T=besttr
www.eeworm.com/read/262288/11594536
m f15_2.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，进行1层LWT
x = reshape(1:16,4,4);
[cA,cH,cV,cD] = lwt2(x,lsnew)
%
www.eeworm.com/read/158466/11612682
txt sum.txt
--计算小计、汇总的SQL语法
select djh,sl from VIEW_xhmx where VIEW_xhmx.khdm='9001' and VIEW_xhmx.kdrq between '2006-01-01' and '2006-03-30'
union
select djh+ ' 小 计',sum(sl)from VIEW_xhmx where VIEW_xhmx.khd
www.eeworm.com/read/158246/11630029
cpp lu_no.cpp
// 7.3 矩阵的LU分解
// 这个小程序应该很容易看懂,所以不加详细注释了.
// 注释见另一LU分解程序
#include
#include
#include
#include
#define MAX_n 100
#define PRECISION 0.0000001
www.eeworm.com/read/158073/11645514
cpp lu_no.cpp
// 7.3 矩阵的LU分解
// 这个小程序应该很容易看懂,所以不加详细注释了.
// 注释见另一LU分解程序
#include
#include
#include
#include
#define MAX_n 100
#define PRECISION 0.0000001
www.eeworm.com/read/157533/11694961
m binlwavf.m
function [Rf,Df] = binlwavf(wname)
%BINLWAVF Biorthogonal wavelet filters (binary wavelets: Binlets).
% [RF,DF] = BINLWAVF(W) 返回两个尺度滤波器，其中
% RF是重建滤波器
% DF是分解滤波器
% 双正交小波函数由字符串W指明
% W =
www.eeworm.com/read/346705/11732195
m signal_denoising2.m
load leleccum;
indx = 1:1024;
x = leleccum(indx);
% 产生含噪信号
init=2055615866;
randn('seed',init);
nx = x + 18*randn(size(x));
%用小波函数 'db6'对信号进行3层分解
[c,l] = wavedec(nx,3, 'db6');
%估计尺度1的噪
www.eeworm.com/read/156378/11807445
m examp16_5.m
clc;
clear;
%生成分段正弦信号
N=1000;
t=1:N;
sig(1:500)=sin(0.03*(1:500));
sig(501:1000)=sin(0.3*(501:1000));
x=sig;
figure(1);
plot(t,x,'LineWidth',2);xlabel('时间 t/s');ylabel('幅值 A');
%一维小波分解
[c,l
www.eeworm.com/read/156378/11807705
m 例程14-7.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，进行1层LWT
x = reshape(1:16,4,4);
[cA,cH,cV,cD] = lwt2(x,lsnew)
%