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/297900/7986183
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/297039/8057991
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/297034/8058997
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/397122/8065805
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/195547/8142391
script sampledata.script
CREATE MEMORY TABLE QUADRANT_ACTUALS(REGION VARCHAR(50) NOT NULL,DEPARTMENT VARCHAR(50) NOT NULL,POSITIONTITLE VARCHAR(50) NOT NULL,ACTUAL DECIMAL(18,4),BUDGET DECIMAL(18,4),VARIANCE DECIMAL(18,4))
C
www.eeworm.com/read/333417/12683729
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/245816/12779700
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/331444/12827777
m var2.m
% V = VAR2(MTX,MEAN)
%
% Sample variance of a matrix.
% Passing MEAN (optional) makes the calculation faster.
function res = var2(mtx, mn)
if (exist('mn') ~= 1)
mn = mean2(mtx);
end
if (isreal(
www.eeworm.com/read/331336/12832477
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/139320/13161366
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