代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/215897/15034756
m carrier_sense.m
function busy = carrier_sense(rv)
% check if the channel is busy
global node;
global white_noise_variance;
global rmodel cs_threshold;
Pr = 0;
I = find(node(:, 3)>0);
for i=1:length(I)
www.eeworm.com/read/167185/5464951
c statdist.c
/****************************************************************/
/* */
/* FILE: stat_dist.c */
www.eeworm.com/read/361768/10036451
m lilliefors.m
function [stat, critval, H]=lilliefors(x,testsize);
% PURPOSE:
% Performs a lilliefors test for normality then the mean and variance are unknown
% If the mean and variance are known, the KS test
www.eeworm.com/read/449504/7502626
m lilliefors.m
function [stat, critval, H]=lilliefors(x,testsize);
% PURPOSE:
% Performs a lilliefors test for normality then the mean and variance are unknown
% If the mean and variance are known, the KS test
www.eeworm.com/read/198546/7928696
m lilliefors.m
function [stat, critval, H]=lilliefors(x,testsize);
% PURPOSE:
% Performs a lilliefors test for normality then the mean and variance are unknown
% If the mean and variance are known, the KS test
www.eeworm.com/read/106690/15626474
m covary.m
% covary() - For vectors, covary(X) returns the variance of X.
% For matrices, covary(X)is a row vector containing the
% variance of each column of X.
%
% Notes:
%
www.eeworm.com/read/106690/15626552
m compvar.m
% compvar() - project selected components and compute the variance of
% the original signal they account for.
%
% Usage:
% >> [proj, variance] = compvar( rawdata, ica_act, winv, componen
www.eeworm.com/read/291752/8399600
cpp levin.cpp
//
// File = levin.cpp
//
//#include "complex.h"
#include
#include "levin.h"
#include "overload.h"
using namespace std;
#ifdef _DEBUG
extern ofstream *DebugFile;
#endif
www.eeworm.com/read/291659/8404199
m suzuki_generator.m
function Suzuki_t=Suzuki_generator(N1,N2,N3,Variance1,fmax,fc,kc,sigma3,m3,A_Los,f_Los,T_interval,T)
[f1,c1,theta1]=Parameter_Classical('MED',N1,Variance1,fmax,'rand');
[f2,c2,theta2]=Parameter_Clas
www.eeworm.com/read/461382/7228226
m cmlchannel.m
function [symbol_likelihood] = CmlChannel( s, sim_param, code_param, EsNo )
% CmlChannel sends the signal vector s over a channel, resulting in
% sufficient statistics in symbol_likelihood
%
% The