代码搜索：MATLAB LMD

找到约 10,000 项符合「MATLAB LMD」的源代码

代码结果 10,000
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makefile

# Set the MATLAB_ROOT properly, # so that the header files and library files can be found. # Normally, set it to the decompression folder used in mglinstaller. MATLAB_ROOT=$(HOME)/test # Set Matla
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www.eeworm.com/read/103618/15727628

mk exm09222_1.mk

# Copyright 1994-2000 The MathWorks, Inc. # # File : accel_lcc.tmf $Revision: 1.12 $ # # Abstract: # Accelerator template makefile for building a PC-based, # RTW generated mex-file of
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www.eeworm.com/read/103618/15727658

mk exm09222_2.mk

# Copyright 1994-2000 The MathWorks, Inc. # # File : accel_lcc.tmf $Revision: 1.12 $ # # Abstract: # Accelerator template makefile for building a PC-based, # RTW generated mex-file of
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www.eeworm.com/read/103618/15727894

mk exm09322_1_4.mk

# Copyright 1994-2000 The MathWorks, Inc. # # File : accel_lcc.tmf $Revision: 1.12 $ # # Abstract: # Accelerator template makefile for building a PC-based, # RTW generated mex-file of
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www.eeworm.com/read/292045/8380575

m lyapunov_wolf.m

function [lmd1] = lyapunov_wolf(data,N,m,tau,P) % wolf法求最大lyapunov指数 % data; % data为原始数据,列向量，n行1列 % m=最小嵌入维数; % tau=2; % tau为时间延迟 % 作者:Adu,武汉大学,adupopo@163.com lmd1=lyapunov_wolf_dll(data,tau,m,P)
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www.eeworm.com/read/161509/10400087

m lyapunov_wolf.m

function [lmd1] = lyapunov_wolf(data,N,m,tau,P) % wolf法求最大lyapunov指数 % data; % data为原始数据,列向量，n行1列 % m=最小嵌入维数; % tau=2; % tau为时间延迟 % 作者:Adu,武汉大学,adupopo@163.com lmd1=lyapunov_wolf_dll(data,tau,m,P)
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www.eeworm.com/read/159114/10693289

m lyapunov_wolf.m

function [lmd1] = lyapunov_wolf_dll(data,m,tau,P) % wolf法求最大lyapunov指数 % data; % data为原始数据,列向量，n行1列 % m=最小嵌入维数; % tau=2; % tau为时间延迟 % P为平均周期 % 作者:Adu,武汉大学,adupopo@163.com lmd1=lyap_wolf(data,tau,m
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www.eeworm.com/read/448551/7530737

cpp md5checksum.cpp

#include "stdafx.h" #include "MD5Checksum.h" #include "MD5ChecksumDefines.h" #ifdef _DEBUG #undef THIS_FILE static char THIS_FILE[]=__FILE__; #define new DEBUG_NEW #endif CString
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www.eeworm.com/read/244738/12846140

m lyapunov_wolf.m

function [lmd1] = lyapunov_wolf_dll(data,m,tau,P) % wolf法求最大lyapunov指数 % data; % data为原始数据,列向量，n行1列 % m=最小嵌入维数; % tau=2; % tau为时间延迟 % P为平均周期 % 作者:Adu,武汉大学,adupopo@163.com lmd1=lyap_wolf(data,tau,m
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www.eeworm.com/read/307450/13722129

m lyapunov_wolf.m

function [lmd1] = lyapunov_wolf(data,N,m,tau,P) % wolf法求最大lyapunov指数 % data; % data为原始数据,列向量，n行1列 % m=最小嵌入维数; % tau=2; % tau为时间延迟 % 作者:Adu,武汉大学,adupopo@163.com lmd1=lyapunov_wolf_dll(data,tau,m,P)
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