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/365787/9847186
m program_17_02_special.m
function program();
%装载语音信号
clear all;
clc;
N=1024*60;
[s,fs,bits]=wavread('C:\TDDOWNLOAD\小波分析理论与MATALB R2007 实现\chapter17_S\sound.wav',N);
sound(s,fs)
figure(1);
plot(1:N,s,'LineWidth',2);
x
www.eeworm.com/read/365787/9847265
m program_10_02.m
% 装载实际信号
load vonkoch
vonkoch=vonkoch(1:510);
lv = length(vonkoch);
subplot(311), plot(vonkoch);title('被分析信号.');
set(gca,'Xlim',[0 510])
% 执行离散5层sym2小波变换
% 层数1～5分别对应尺度 2, 4, 8, 16 and 32
www.eeworm.com/read/168455/9912312
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/363712/9939618
bak ds1302.c.bak
//亦木明
//哪天写的忘了。
#include
//#include "ds1302.h"
#define uchar unsigned char
#define uint unsigned int
#define SECOND 0x80 //秒
#define MINUTE 0x82 //分鍾
#define HOUR 0x84 //小時
www.eeworm.com/read/166938/9988448
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/166938/9988451
m discontinuites_detection1.m
load freqbrk;
x= freqbrk;
% 对信号进行傅里叶变换
f = fft(x,1024);
f = abs(f);
figure(1);
subplot(211);
plot(x);
subplot(212);
plot(f);
% 使用DB6小波进行6层分解
[c,l]=wavedec(x,6,'db6');
figure(2);
subplot(8
www.eeworm.com/read/166938/9988460
m signal_compression2.m
load nelec;
indx = 1:1024;
x = nelec(indx);
%用小波函数haar对信号进行5层分解
[c,l] = wavedec(x,5,'haar');
%获取信号压缩的阀值
[thr,nkeep] = ddencmp('cmp','wv',x);
%对信号进行压缩
xd = wdencmp('gbl',c,l,'haar',5,thr,'
www.eeworm.com/read/166938/9988482
m waveletpacket_reconstruction1.m
% 加载信号
load leleccum;
x = leleccum;
% 用db2小波包分解信号到第三次层
% 使用Shannon熵
wpt = wpdec(x,3,'db2','shannon');
% 对信号进行重构
rex = wprec(wpt)
subplot(211);
plot(x)
title('原始信号');
subplot(212);
plot
www.eeworm.com/read/362220/10011849
m program_14_07.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/362220/10011922
m program_16_05.m
%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] = wavedec(x,