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/197589/7985204
m lms_ar_pred.m
% lms_AR_pred.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/140957/13050873
m lms_ar_pred.m
% lms_AR_pred.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/319883/13440535
cpp prog7_07.cpp
// Program 7.7 Using pointer notation with a multidimensional array
#include
#include
#include
using std::cout;
using std::endl;
using std::setw;
int main() {
www.eeworm.com/read/312534/13609969
m lms_ar_pred.m
% lms_AR_pred.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/302650/13829493
m modul.m
function sig_modul = modul(data,md,varargin)
%MODUL Multidimensional digital modulator
% S = MODUL(Q,MD,'PropertyName',PropertyValue,...) performs linear
% memoryless digital modulation of channe
www.eeworm.com/read/493833/6391393
m lms_ar_pred.m
% lms_AR_pred.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/480372/6673056
m lms_ar_pred.m
% lms_AR_pred.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/402601/11532183
m lms_ar_pred.m
% lms_AR_pred.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/346716/11728599
m lms_ar_pred.m
% lms_AR_pred.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/259400/11795529
m modul.m
function sig_modul = modul(data,md,varargin)
%MODUL Multidimensional digital modulator
% S = MODUL(Q,MD,'PropertyName',PropertyValue,...) performs linear
% memoryless digital modulation of channe