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/119473/14829493
asm pgm5_4.asm
; Multidimensional Array declaration and access
;
; Randall Hyde
.386 ;Need these two statements to use
option segment:use16 ; 80386 register set.
dseg segment para public 'data'
www.eeworm.com/read/210423/15198835
m detect.m
function [data_est,state_est] = detect(sig_down,dlt,slt,ch_coefs)
%**************************************************************************
%DETECT Multidimensional data detector.
% D_E = DET
www.eeworm.com/read/303435/3811052
lib vnd.par.lib
VND - large out-of-core multidimensional block matrix transpose
The VND routines are intended for avoiding the need for virtual
memory when prototyping large out-of-core problems where
multidimension
www.eeworm.com/read/282784/4087461
m detect.m
function [data_est,state_est] = detect(sig_down,dlt,slt,ch_coefs)
%**************************************************************************
%DETECT Multidimensional data detector.
% D_E = DET
www.eeworm.com/read/282784/4087478
m detect.m
function [data_est,state_est] = detect(sig_down,dlt,slt,ch_coefs)
%**************************************************************************
%DETECT Multidimensional data detector.
% D_E = DET
www.eeworm.com/read/282784/4087501
m detect.m
function [data_est,state_est] = detect(sig_down,dlt,slt,ch_coefs)
%**************************************************************************
%DETECT Multidimensional data detector.
% D_E = DET
www.eeworm.com/read/388600/2549422
tex paper.tex
% copyright (c) 1997 Jon Claerbout
\long\def\HIDE#1{#1}
\title{Multidimensional autoregression}
\author{Jon Claerbout}
\maketitle
\label{paper:mda}
The many applications of least squares
www.eeworm.com/read/360971/2955027
java initarray.java
// Fig. 25.23: InitArray.java
// Initializing multidimensional arrays
import java.awt.Container;
import javax.swing.*;
public class InitArray extends JApplet {
JTextArea outputArea;
//
www.eeworm.com/read/414142/11126385
m detect.m
function [data_est,state_est] = detect(sig_down,dlt,slt,ch_coefs)
%**************************************************************************
%DETECT Multidimensional data detector.
% D_E = DET
www.eeworm.com/read/205036/15328796
m tensor.m
function t = tensor(varargin)
%TENSOR Create tensor.
%
% X = TENSOR(A,SIZ) creates a tensor from the multidimensional
% array A. The SIZ argument specifies the desired shape of A.
%
% X = TENSOR