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/261198/11659849
m normalise.m
function [M, z] = normalise(A, dim)
% NORMALISE Make the entries of a (multidimensional) array sum to 1
% [M, c] = normalise(A)
% c is the normalizing constant
%
% [M, c] = normalise(A, dim)
% If dim
www.eeworm.com/read/346716/11728643
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/344239/11894825
java multidimwrapperarray.java
//: arrays/MultiDimWrapperArray.java
// Multidimensional arrays of "wrapper" objects.
import java.util.*;
public class MultiDimWrapperArray {
public static void main(String[] args) {
Inte
www.eeworm.com/read/153186/12053187
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/131904/14120373
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/130592/14182271
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/129291/14253292
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/226661/14456027
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/212047/15166788
todo
* Sine and Cosine Transforms from FFTPACK.
* A simple multidimensional fft.
* Workspace should be split into separate static table and scratch
space to avoid unnecessary recalculation of twiddle fa
www.eeworm.com/read/13871/284430
m normalize.m
function [M, z] = normalise(A, dim)
% NORMALISE Make the entries of a (multidimensional) array sum to 1
% [M, c] = normalise(A)
% c is the normalizing constant
%
% [M, c] = normalise(A, dim)
% I