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/204192/5032947
data compare-das-old.data
#$val(routingprotocol) $val(numflows) $val(maxpause) SampleCount $pdr(tot)/avg $pdr(tot)/min $pdr(tot)/max $pdr(tot)/variance $pdr(tot)/err(0.95) $pdr(cost)/avg $pdr(cost)/min $pdr(cost)/max $pdr(cost
www.eeworm.com/read/344585/3207877
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/382594/2633889
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
www.eeworm.com/read/362216/2936148
m modwt_rot_cum_wav_svar.m
function [rcwsvar] = modwt_rot_cum_wav_svar(WJt, wtfname)
% modwt_rot_cum_wsvar -- Calculate the rotated wavelet sample variance from MODWT wavelet coefficients.
%
%****f* wmtsa.dwt/modwt_rot_cum_wav_
www.eeworm.com/read/475710/6775959
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/194516/8191421
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/294870/8196539
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/294870/8196867
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/192744/8287443
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/172172/9722078
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