代码搜索：zero-mean
找到约 78 项符合「zero-mean」的源代码
代码结果 78
www.eeworm.com/read/169513/9853738
c sinewave plus additive zero-mean random noise.c
/*
signal.c - Sinewave plus additive zero-mean random noise
*/
#define USE_DATA 1
#if USE_DATA /* Use noise data file */
#pragma CODE_SECTION(cos_
www.eeworm.com/read/289139/8573014
txt read_me.txt
Some brief notes
----------------
kfdemo.m is a Matlab script file to run a demonstration of the
Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4
so that it will read in eit
www.eeworm.com/read/207287/15002220
txt read_me.txt
Some brief notes
----------------
kfdemo.m is a Matlab script file to run a demonstration of the
Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4
so that it will read in eit
www.eeworm.com/read/132772/14073864
m exmp2_10.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% exmp2_10.m - Generate and check the mean (0) and
% variance (1) of white noise
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
www.eeworm.com/read/224369/14595527
m zeromn.m
%function Xzm = zeroMn(X)
%Returns a zero-mean form of the matrix X. Each row of Xzm will have
%zero mean, same as in spherex.m. For PCA, put the observations in cols
%before doing zeroMn(X).
functi
www.eeworm.com/read/393768/8264233
m zao.m
N=get(handles.edit1,'string');
n=[0:N-1];
T=get(handles.edit2,'string');
T=str2num(char(T));
t=n*T;
x=sin(1.5*pi*t)+0.5*cos(3*pi*t);
y=x+2*randn(size(t));
plot(1000*t(1:50),y(1:50));
gri
www.eeworm.com/read/202818/15372079
m zeromn.m
%function Xzm = zeroMn(X)
%Returns a zero-mean form of the matrix X. Each row of Xzm will have
%zero mean, same as in spherex.m. For PCA, put the observations in cols
%before doing zeroMn(X).
f
www.eeworm.com/read/389442/8519745
m noise1.m
t = 0:0.001:0.6;
x = sin(2*pi*50*t);
y = x + 2*randn(size(t));
plot(1000*t(1:50),y(1:50),1000*t(1:50),x(1:50));
title('Signal Corrupted with Zero-Mean Random Noise');
xlabel('time (milliseconds)'
www.eeworm.com/read/388370/8612576
m mulaw_c.m
function [y] = mulaw_c(s,mu)
% mu-law compressor
% -----------------
% [y] = mulaw_c(s,mu)
% y = compressed output signal
% s = zero-mean nomalized signal between -1 and 1
% mu = parameter mu
www.eeworm.com/read/280929/10279377
m mulaw_c.m
function [y] = mulaw_c(s,mu)
% mu-law compressor
% -----------------
% [y] = mulaw_c(s,mu)
% y = compressed output signal
% s = zero-mean nomalized signal between -1 and 1
% mu = parameter mu