代码搜索:共模滤波
找到约 10,000 项符合「共模滤波」的源代码
代码结果 10,000
www.eeworm.com/read/439857/7700272
m m06_eyediagram.m
M = 16; Fd = 1; Fs = 10;
Pd = 100;
msg_d = randint(Pd,1,M); % 生成随机信号
msg_a = modmap(msg_d,Fd,Fd,'qask',M);%采用QASK调制方式.
delay = 3; % 提升余弦滤波器的延时
rcv = rcosflt(msg_a,Fd,Fs,'fir/normal',.5,delay);
www.eeworm.com/read/438335/7732679
m rcosine_filter.m
Fd= 1; %输入信号的采样率
Fs = 8; %输出信号的采样率
Delay = 3; %滤波器的群时延
R = 0.5; %滚降因子
[yf,tf] = rcosine(Fd,Fs,'fir',R,Delay);
plot(yf)
grid
xlabel('Time')
ylabel('Amplitude');
% impz(rrcfilter,1); % 另外一种
www.eeworm.com/read/438332/7732725
m mfcc.m
function ccc = mfcc(x)
% 归一化mel滤波器组系数
bank=melbankm(24,256,8000,0,0.5,'m');
bank=full(bank);
bank=bank/max(bank(:));
% DCT系数,12*24
for k=1:12
n=0:23;
dctcoef(k,:)=cos((2*n+1)*k*pi/(2*24)
www.eeworm.com/read/437031/7756524
m duan.m
%滤波后的语音信号为c103.wav
N = 160
[Y,Fs,bits] = wavread('c101.wav');
L = length ( Y )
%短时能量
for i=1:L-N
e(i)=energy(x(i:i+N));
end
plot(e,'LineWidth',2);
xlabel('时间t');
ylabel('能量E');
www.eeworm.com/read/435680/7787947
m mfcc.m
function ccc = mfcc(x)
% 归一化mel滤波器组系数
bank=melbankm(24,256,8000,0,0.5,'m');
bank=full(bank);
bank=bank/max(bank(:));
% DCT系数,12*24
for k=1:12
n=0:23;
dctcoef(k,:)=cos((2*n+1)*k*pi/(2*2
www.eeworm.com/read/299107/7888235
m kalman.m
clc
clear
T=1%雷达扫描周期
num=100;%滤波次数
al=1/120;%机动频率常数
amax=100;%m/s^2
amax1=-100;
%********************产生真实轨迹************************
N1=10/T;
N2=20/T;
N3=30/T;
N4=40/T;
sx=zer
www.eeworm.com/read/399073/7896276
m casfiltr.m
function y = casfiltr(b0,B,A,x);
% IIR 和 FIR滤波器的级联型的实现
% -----------------------------------------------
% y = casfiltr(b0,B,A,x);
% y = 输出序列
% b0 = 级联型的增益系数
% B = 包含各bk的K乘3维实系数矩阵
% A = 包含
www.eeworm.com/read/399073/7896381
m latc2dir.m
function [b] = latc2dir(K)
% 全零格型到FIR的直接型式的型式转换
% ---------------------------------------------------
% [b] = latc2dir(K)
% b = 直接型式的多项式系数(脉冲响应)
% K = 格形滤波器系数(反射系数)
%
M = length(K);
J = 1;
www.eeworm.com/read/399073/7896399
m dir2latc.m
function [K] = dir2latc(b)
% FIR的直接型式到全零格形的型式转换
% ---------------------------------------------------
% [K] = dir2latc(b)
% K = 格形滤波器系数(反射系数)
% b = 直接型式的多项式系数(脉冲响应)
%
M = length(b);
K = zer
www.eeworm.com/read/433381/7935720
cpp sievingkalman.cpp
//SievingKalman.cpp 离散随机线性系统的卡尔曼滤波
#include //模板类输入输出流标准头文件
#include //数学变换头文件
#include //模板类矩阵头文件
using namespace std; //名字空间
template
voi