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/240174/13233418
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/324303/13273728
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/238779/13326102
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/319970/13438203
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/318947/13465976
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/316944/13514009
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/308787/13692059
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/303779/13808844
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/303438/13816080
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/320368/6295391
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