代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
代码结果 3,786
www.eeworm.com/read/208134/6942904
java bootstrap.java
package fss;
import shared.*;
import shared.Error;
import java.lang.*;
/***************************************************************************
The Bootstrap is an error estimation method d
www.eeworm.com/read/449504/7502979
m sem_gmmd2.m
% PURPOSE: An example of using sem_gmm,sem2_gmm on a large data set
% GM estimation of the spatial error model
%-------------------------------------------------
www.eeworm.com/read/397102/8068255
m crossval.m
%CROSSVAL Crossvalidation, classifier error and stability
%
% [e,s] = crossval(classf,A,n)
%
% Crossvalidation estimation of the error and the instability of the
% classifier classf using the data
www.eeworm.com/read/308715/13694713
m blind1cma.m
% Blind channel estimation/equalization
% adpative CMA method
%
% Copyright: Xiaohua(Edward) Li, Assistant Professor
% Department of Electrical and Computer Engineering
% St
www.eeworm.com/read/158099/11643655
m blind3sub.m
% subspace method for blind channel estimation
%
% Copyright: Xiaohua(Edward) Li, Assistant Professor
% Department of Electrical and Computer Engineering
% State University of Ne
www.eeworm.com/read/157345/11718406
m fracdim.m
function fracdim(fst,lst)
% The function
%
% fracdim(data);
%
% compute an estimation of the fractal dimension
% by the method of Grassberger and Proccacia.
% The function opens a wind
www.eeworm.com/read/342008/12047247
m crossval.m
%CROSSVAL Crossvalidation, classifier error and stability
%
% [e,s] = crossval(classf,A,n)
%
% Crossvalidation estimation of the error and the instability of the
% classifier classf using the data
www.eeworm.com/read/254849/12115121
m cmablind1.m
% Blind channel estimation/equalization
% adpative CMA method
%
% Copyright: Xiaohua(Edward) Li, Assistant Professor
% Department of Electrical and Computer Engineering
% St
www.eeworm.com/read/129220/14257557
java bootstrap.java
package fss;
import shared.*;
import shared.Error;
import java.lang.*;
/***************************************************************************
The Bootstrap is an error estimation method d
www.eeworm.com/read/228786/14363489
m sub3.m
% subspace method for blind channel estimation
%
% Copyright: Xiaohua(Edward) Li, Assistant Professor
% Department of Electrical and Computer Engineering
% State University of Ne