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/181456/9254735
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/179705/9342373
texi multifit.texi
@cindex nonlinear least squares fitting
@cindex least squares fitting, nonlinear
This chapter describes functions for multidimensional nonlinear
least-squares fitting. The library provides low level
www.eeworm.com/read/426106/10287051
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/354551/10346093
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/424281/10468793
texi multifit.texi
@cindex nonlinear least squares fitting
@cindex least squares fitting, nonlinear
This chapter describes functions for multidimensional nonlinear
least-squares fitting. The library provides low level
www.eeworm.com/read/146545/6956192
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/459795/7264644
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/454559/7387372
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/448526/7532109
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/435150/7796568
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() {