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/234666/14102076
m noisecg.m
function noise=noisecg(N,a1,a2)
%NOISECG Analytic complex gaussian noise.
% NOISE=NOISECG(N,A1,A2) computes an analytic complex gaussian
% noise of length N with mean 0.0 and variance 1.0.
%
% NOISE=
www.eeworm.com/read/233017/14172828
m noisecg.m
function noise=noisecg(N,a1,a2)
%NOISECG Analytic complex gaussian noise.
% NOISE=NOISECG(N,A1,A2) computes an analytic complex gaussian
% noise of length N with mean 0.0 and variance 1.0.
%
% NOISE=
www.eeworm.com/read/228052/14401821
m noisecg.m
function noise=noisecg(N,a1,a2)
%NOISECG Analytic complex gaussian noise.
% NOISE=NOISECG(N,A1,A2) computes an analytic complex gaussian
% noise of length N with mean 0.0 and variance 1.0.
%
% NOISE=
www.eeworm.com/read/119681/14824448
m rbf_kernel.m
function x = RBF_kernel(a,b, sigma2)
% Radial Basis Function (RBF) kernel function for implicit higher dimension mapping
%
% X = RBF_kernel(a,b,sig2)
%
% 'sig2' contains the SQUARED variance of the R
www.eeworm.com/read/117859/14901958
m noisecg.m
function noise=noisecg(N,a1,a2)
%NOISECG Analytic complex gaussian noise.
% NOISE=NOISECG(N,A1,A2) computes an analytic complex gaussian
% noise of length N with mean 0.0 and variance 1.0.
%
% NOISE=
www.eeworm.com/read/115704/15003758
txt d13r10.txt
Private Sub Command1_Click()
'PROGRAM D13R10
'Driver for routine KSONE
NPTS = 1000
EPS = 0.1
Dim DATA(1000)
IDUM& = -5
Print
Print Tab(5); "Variance Ratio K-S
www.eeworm.com/read/216367/15017737
txt d13r10.txt
Private Sub Command1_Click()
'PROGRAM D13R10
'Driver for routine KSONE
NPTS = 1000
EPS = 0.1
Dim DATA(1000)
IDUM& = -5
Print
Print Tab(5); "Variance Ratio K-S
www.eeworm.com/read/215709/15051722
m noisecg.m
function noise=noisecg(N,a1,a2)
%NOISECG Analytic complex gaussian noise.
% NOISE=NOISECG(N,A1,A2) computes an analytic complex gaussian
% noise of length N with mean 0.0 and variance 1.0.
%
% NOISE=
www.eeworm.com/read/214923/15082937
m rbf_kernel.m
function x = RBF_kernel(a,b, sigma2)
% Radial Basis Function (RBF) kernel function for implicit higher dimension mapping
%
% X = RBF_kernel(a,b,sig2)
%
% 'sig2' contains the SQUARED variance of the R
www.eeworm.com/read/213039/4933195
h statistics.h
#ifndef _STATISTICS_H_
#define _STATISTICS_H_
/* statistics.h,v 1.3 2000/06/04 22:00:03 brunsch Exp */
extern double mean(const double, const int);
extern double variance(const double, const