代码搜索：超低频
找到约 2,259 项符合「超低频」的源代码
代码结果 2,259
www.eeworm.com/read/191570/8427472
m example2_6_1.m
load noiswom; %装载图像信号
whos
[swa,swh,swv,swd] = swt2(X,1,'db1'); %完成图像的单层次小波分解
whos %观察各个系数向量的结构
figure(1);
map = pink(size(map,1)); %显示低频和高频系数
colormap(map)
subplot(2,2,1), image(wcodemat(swa,1
www.eeworm.com/read/389095/8548553
c uart.c
#include
#include "UART.h"
#include "common.h"
void Init_CLK(void)
{
unsigned int i;
//将寄存器的内容清零
//XT2震荡器开启
//LFTX1工作在低频模式
//ACLK的分频因子为1
BCSCTL1 = 0X
www.eeworm.com/read/378038/9253419
m example2_6_1.m
load noiswom; %装载图像信号
whos
[swa,swh,swv,swd] = swt2(X,1,'db1'); %完成图像的单层次小波分解
whos %观察各个系数向量的结构
figure(1);
map = pink(size(map,1)); %显示低频和高频系数
colormap(map)
subplot(2,2,1), image(wcodemat(swa,1
www.eeworm.com/read/169909/9833266
c dataprocessing.c
#include "talkthrough.h"
#include
#define PI 3.1415926
#define FC2 0.05//以采样率Fs进行归一化的高频截止频率
#define FC1 0.00//以采样率Fs进行归一化的低频截止频率
#define FL 0.2//移位量
#define COEFFSCALE 2
www.eeworm.com/read/168455/9912320
m example2_6_1.m
load noiswom; %装载图像信号
whos
[swa,swh,swv,swd] = swt2(X,1,'db1'); %完成图像的单层次小波分解
whos %观察各个系数向量的结构
figure(1);
map = pink(size(map,1)); %显示低频和高频系数
colormap(map)
subplot(2,2,1), image(wcodemat(swa,1
www.eeworm.com/read/363686/9940161
m example2_6_1.m
load noiswom; %装载图像信号
whos
[swa,swh,swv,swd] = swt2(X,1,'db1'); %完成图像的单层次小波分解
whos %观察各个系数向量的结构
figure(1);
map = pink(size(map,1)); %显示低频和高频系数
colormap(map)
subplot(2,2,1), image(wcodemat(swa,1
www.eeworm.com/read/166938/9988446
m discontinuites_detection2.m
load nearbrk;
x= nearbrk;
% 使用DB4小波进行2层分解
[c,l]=wavedec(x,2,'db4');
subplot(4,1,1);
plot(x);
ylabel('x');
% 对分解的第2层低频系数进行重构
a=wrcoef('a',c,l,'db4',2);
subplot(4,1,2);
plot(a);
ylabel('a2');
www.eeworm.com/read/166938/9988457
m longterm_evolution_detection.m
load cnoislop;
x = cnoislop;
subplot(6,1,1);
plot(x);
ylabel('x');
% 进行一维离散小波变换
[c,l]=wavedec(x,5,'db4');
for i=1:5
%对分解结构[c,l]中的低频部分进行重构
s=wrcoef('a',c,l,'db4',6-i);
subplot(6,1
www.eeworm.com/read/166938/9988473
m purefrequencies_detection.m
load sumsin;
x = sumsin;
figure(1)
subplot(611);
plot(x);
ylabel('x');
title('原始信号及各层近似信号');
% 使用DB3小波进行5层分解
[c,l]=wavedec(x,5,'db3');
for i=1:5
% 对分解的第5层到第1层的低频系数分别进行重构
a=wrcoef('a
www.eeworm.com/read/359229/10160662
m example2_6_1.m
load noiswom; %装载图像信号
whos
[swa,swh,swv,swd] = swt2(X,1,'db1'); %完成图像的单层次小波分解
whos %观察各个系数向量的结构
figure(1);
map = pink(size(map,1)); %显示低频和高频系数
colormap(map)
subplot(2,2,1), image(wcodemat(swa,1