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/493833/6391369
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/480372/6673032
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/478118/6720246
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/402601/11532159
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/346716/11728474
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/259400/11795541
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/153187/12053163
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/131904/14120385
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/130592/14182131
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/228006/14403588
m get_submatrix.m
function [S,Sind] = get_submatrix(X,Ssiz,Soff)
%[S,Sind] = get_submatrix(X,Ssiz,Soff)
%Version: 1.00, Date: 2005/01/12, author: Nikola Sprljan
%Extracts submatrix from a multidimensional matrix
%