代码搜索：共模滤波
找到约 10,000 项符合「共模滤波」的源代码
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www.eeworm.com/read/337943/12332964
m t_autoset.m
function [T]=t_autoset(I)
%自动确定图象阈值
%I=imread('eye.jpg')
graycount=imhist(I);
sz=size(I);
T=0;
graycount=filter([0.5 0 0.5],1,graycount);% 邻域平均滤波,平滑灰度曲线
%figure,imhist(I);
%figure,stem([0:25
www.eeworm.com/read/148879/12417901
m 14-1.m
I = checkerboard(8);
% 创建一个棋盘图像
noise = 0.1*randn(size(I));
% 产生随机噪声
PSF = fspecial('motion',21,11);
Blurred = imfilter(I,PSF,'circular');
% 输入图像滤波,使图像变模糊
BlurredNoisy = im2uint8(Blurred + nois
www.eeworm.com/read/336315/12451275
txt afa.txt
自适应滤波算法MATLAB程序如下：
Lms.m % 最小均方算法
x=zeros(2000,1);
x1=zeros(2000,1);
w=zeros(2001,2); %生成三个0矩阵来存储
x(1,1)=1;
www.eeworm.com/read/132078/14111036
m u_buttap.m
function [b,a] = u_buttap(N,Omegac);
% 未归一化的巴特沃斯模拟低通滤波器原型
% --------------------------------------------------------
% [b,a] = u_buttap(N,Omegac);
% b = Ha(s) 分子多项式的系数
% a = Ha(s) 分母多项式的系数
%
www.eeworm.com/read/232209/14203704
m raisecosfilter.m
function [g_T]= rrc_filter(alpha, filterOrder, N, T)
%alpha为滚降系数
%filterOrder为滤波器阶数
%N为每符号采样点数
%T
% alpha = 0.24;
% filterOrder = 63; %
% T = 1;
% N = 4; %sample point number per symbol
n =
www.eeworm.com/read/127242/14366740
m 14-1.m
I = checkerboard(8);
% 创建一个棋盘图像
noise = 0.1*randn(size(I));
% 产生随机噪声
PSF = fspecial('motion',21,11);
Blurred = imfilter(I,PSF,'circular');
% 输入图像滤波,使图像变模糊
BlurredNoisy = im2uint8(Blurred + nois
www.eeworm.com/read/224839/14566376
m compute_codeword.m
function o=compute_codeword(position,s,jx)
%实现计算码字滤波的框图功能
%输入---固定码本输出
%输出---码字矢量，得到c(n)
c=zeros(1,40);
for i=1:4
c(position(i))=s(i);
end
%c=c/2^15;
o=c;
www.eeworm.com/read/221899/14715124
m compute_codeword.m
function o=compute_codeword(position,s,jx)
%实现计算码字滤波的框图功能
%输入---固定码本输出
%输出---码字矢量，得到c(n)
c=zeros(1,40);
for i=1:4
c(position(i))=s(i);
end
%c=c/2^15;
o=c;
www.eeworm.com/read/213993/15118099
m chebyshev.m
%本程序实现IIR低通滤波（chebyshev 1型）
% IIR Lowpass Use Chebyshev Type 1
% copyright by Etual
clear;
fs=20;fpass=4;fstop=5;
Ap=0.5;As=10;
wp=2*pi*fpass/fs;ws=2*pi*fstop/fs;
omegap=tan(wp/2);omegas=ta
www.eeworm.com/read/211300/15183153
m u_buttap.m
function [b,a] = u_buttap(N,Omegac);
% 未归一化的巴特沃斯模拟低通滤波器原型
% --------------------------------------------------------
% [b,a] = u_buttap(N,Omegac);
% b = Ha(s) 分子多项式的系数
% a = Ha(s) 分母多项式的系数
%