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/375212/9368844
m auto.m
function [ax,mx,stdx] = auto(x)
%AUTO Autoscales matrix to mean zero unit variance
% Autoscales a matrix (x) and returns the resulting matrix (ax)
% with mean-zero unit variance columns, a vector
www.eeworm.com/read/374411/9407083
m productexact.m
function dens = productExact(npd_placeholder, npdensities , analyticFns, analyticParams)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% productExact(kde,{kdes} [,{
www.eeworm.com/read/177674/9442440
m mdnprob.m
function [prob,a] = mdnprob(mixparams, t)
%MDNPROB Computes the data probability likelihood for an MDN mixture structure.
%
% Description
% PROB = MDNPROB(MIXPARAMS, T) computes the probability P(T) o
www.eeworm.com/read/176823/9483142
m mdnprob.m
function [prob,a] = mdnprob(mixparams, t)
%MDNPROB Computes the data probability likelihood for an MDN mixture structure.
%
% Description
% PROB = MDNPROB(MIXPARAMS, T) computes the probability P(T) o
www.eeworm.com/read/372592/9501136
txt d13r7.txt
Private Sub Command1_Click()
'PROGRAM D13R7
'Driver for routine FTEST
NPTS = 1000
MPTS = 500
EPS = 0.01
NVAL = 10
Dim DATA1(1000), DATA2(500), DATA3(500)
'Gener
www.eeworm.com/read/175157/9557175
m gabor2d_sub.m
function [gaborp_2d]=gabor2d_sub(angle,num_disk)
% Modified by PRTsinghua@hotmail.com
variance=32;
k=10;
x=cos(angle*pi/num_disk);
y=sin(angle*pi/num_disk);
w=(2*pi)/k;
p=0;
m=0;
for (i
www.eeworm.com/read/170335/9809566
m gabor2d_sub.m
function [gaborp_2d]=gabor2d_sub(angle,num_disk)
% Modified by PRTsinghua@hotmail.com
variance=32;
k=10;
x=cos(angle*pi/num_disk);
y=sin(angle*pi/num_disk);
w=(2*pi)/k;
p=0;
m=0;
for (i
www.eeworm.com/read/170292/9811538
m cp0602_gaussian_psd_nth.m
%
% FUNCTION 6.4 : "cp0602_Gaussian_PSD_nth"
%
% Generates the normalized PSD of the n-th derivative of
% the Gaussian pulse with variance sigma^2 as defined in:
%
% Sheng, H., P. Orli
www.eeworm.com/read/167855/9949074
m gabor2d_sub.m
function [gaborp_2d]=gabor2d_sub(angle,num_disk)
% Modified by Luigi Rosa
variance=32;
k=10;
x=cos(angle*pi/num_disk);
y=sin(angle*pi/num_disk);
w=(2*pi)/k;
p=0;
m=0;
for (i=-16:1:16)
www.eeworm.com/read/358619/10183782
m ekfukftry.m
% PURPOSE : Demonstrate the differences between the following filters on the same problem:
%
% 1) Extended Kalman Filter (EKF)
% 2) Unscented Kalman Filter (UKF)
%