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/138798/13211740
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
www.eeworm.com/read/138798/13211903
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)
% I
www.eeworm.com/read/325023/13230507
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/136959/13351537
c amalloc.c
/*
AMALLOC - multi-dimensional malloc()
Allocates a multidimensional array dynamically, at runtime, so that
1: its elements can be accessed using multiple indirection
2: it can be deallocated us
www.eeworm.com/read/312526/13610069
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/493833/6391363
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/490761/6442145
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)
% I
www.eeworm.com/read/480372/6673026
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/402601/11532153
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/261198/11659726
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)
% If dim