代码搜索：multidimensional
找到约 559 项符合「multidimensional」的源代码
代码结果 559
www.eeworm.com/read/281848/9130159
java ex20(2).java
// arrays/Ex20.java
// TIJ4, Chapter Arrays, Exercise 20, page 778
// Demonstrate deepEquals() for multidimensional arrays.
import java.util.*;
import static net.mindview.util.Print.*;
class A
www.eeworm.com/read/380466/9146946
m detect.m
function varargout = detect(sig_down,dlt,slt,ch_coefs,varargin)
%DETECT Multidimensional data detector.
% D_E = DETECT(S,DLT,SLT,ALPHA) performs the maximum likelihood
% sequence estimation (MLSE
www.eeworm.com/read/181456/9254749
m detect.m
function varargout = detect(sig_down,dlt,slt,ch_coefs,varargin)
%DETECT Multidimensional data detector.
% D_E = DETECT(S,DLT,SLT,ALPHA) performs the maximum likelihood
% sequence estimation (MLSE
www.eeworm.com/read/164684/10095528
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
www.eeworm.com/read/426106/10286878
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
www.eeworm.com/read/354551/10345928
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
www.eeworm.com/read/353439/10446840
java ex20(2).java
// arrays/Ex20.java
// TIJ4, Chapter Arrays, Exercise 20, page 778
// Demonstrate deepEquals() for multidimensional arrays.
import java.util.*;
import static net.mindview.util.Print.*;
class A
www.eeworm.com/read/423552/10549914
m mfbox_mdsobi_run.m
function [params,A,W,S]=mfbox_mdsobi_run(X,mask,params,runflag)
% run multidimensional sobi
%
% Usage:
% [params,A,W,S]=mfbox_mdsobi_run(X,mask,params,runflag)
%
% X - (NxT) data
% mask -
www.eeworm.com/read/146545/6956199
m detect.m
function varargout = detect(sig_down,dlt,slt,ch_coefs,varargin)
%DETECT Multidimensional data detector.
% D_E = DETECT(S,DLT,SLT,ALPHA) performs the maximum likelihood
% sequence estimation (MLSE
www.eeworm.com/read/459795/7264651
m detect.m
function varargout = detect(sig_down,dlt,slt,ch_coefs,varargin)
%DETECT Multidimensional data detector.
% D_E = DETECT(S,DLT,SLT,ALPHA) performs the maximum likelihood
% sequence estimation (MLSE