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/228006/14403591
m idwt_dyadic_recon.m
function Xr = idwt_dyadic_recon(Y,wavelet,N)
%X = idwt_dyadic_recon(Y,wavelet,N)
%Version: 1.10, Date: 2005/11/01, author: Nikola Sprljan
%Dyadic wavelet reconstruction of a multidimensional signal
www.eeworm.com/read/227715/14417189
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/226661/14455862
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/123214/14642189
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/273525/4209118
idlg _cl_dist_list.idlg
/*
_cl_dist_list.idlg -- cluster analysis distances lists include file
-- also used in -mds- multidimensional scaling
*! VERSION 1.0.0 02mar2005
*/
LIST continuous_dist
BEGIN
L2
www.eeworm.com/read/372575/2771856
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/395876/8147864
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/392244/8355939
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/370596/9593042
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/171677/9742979
m min.m
function [x,fval,exitflag,output] = min(funfcn,x,options,varargin)
%MIN Multidimensional unconstrained nonlinear minimization (Nelder-Mead).
% X = MIN(FUN,X0) starts at X0 and attempts to find a l