登录
首页 » matlab » ChaosToolbox_lzb3.0

ChaosToolbox_lzb3.0

于 2020-11-13 发布 文件大小:289KB
0 190
下载积分: 1 下载次数: 14

代码说明:

  陆振波混沌工具箱v2.9全集,包含了cc法求时间延迟,嵌入维数等(The Complete Works of Lu Zhenbo Chaos Toolbox v2.9)

文件列表:

ChaosToolbox_lzb3.0
...................\BoxDimension_2D
...................\...............\BoxDimension_2D.m,1521,2016-12-02
...................\...............\Contents.m,24,2011-07-07

...................\...............\Main_BoxDimension_2D.m,903,2016-12-02
...................\BoxDimension_TS
...................\...............\BoxDimension_TS.m,2708,2016-12-02
...................\...............\Contents.m,25,2011-07-07
...................\...............\Main_BoxDimension_TS.m,1077,2016-12-02
...................\...............\wfbm.m,5571,2011-07-07
...................\C-C Method
...................\..........\CC_luzhenbo.c,6629,2016-12-02
...................\..........\CC_luzhenbo.mexw64,9728,2016-12-02
...................\..........\Contents.m,18,2011-07-07
...................\..........\LorenzData.mexw64,10240,2014-05-07
...................\..........\Main_CC_Method_Luzhenbo.m,1208,2016-12-02
...................\C-C Method Improved
...................\...................\ccFunction.c,3481,2011-07-07
...................\...................\ccFunction.mexw64,8192,2016-12-02
...................\...................\ccFunction_luzhenbo.c,4767,2011-07-07
...................\...................\ccFunction_luzhenbo.mexw64,9728,2016-12-02
...................\...................\CC_Improved.m,1245,2016-12-02
...................\...................\DuffingData.c,3525,2011-07-07
...................\...................\DuffingData.mexw64,10240,2016-12-02
...................\...................\LorenzData.c,3367,2011-07-07
...................\...................\LorenzData.mexw64,10240,2016-12-02
...................\...................\Main_CC_Method_Improved.m,1933,2016-12-02
...................\...................\RosslerData.c,3366,2011-07-07
...................\...................\RosslerData.mexw64,10240,2016-12-02
...................\ChaosAttractors
...................\...............\ChensData.c,3403,2016-12-02
...................\...............\ChensData.mexw64,10240,2016-12-02
...................\...............\Contents.m,22,2011-07-07
...................\...............\createmgdde23.m,538,2011-07-07
...................\...............\DuffingData.c,3598,2016-12-02
...................\...............\DuffingData.mexw64,10240,2016-12-02
...................\...............\DuffingData2.c,3604,2016-12-02
...................\...............\DuffingData2.mexw64,10240,2016-12-02
...................\...............\LorenzData.c,3367,2011-07-07
...................\...............\LorenzData.mexw64,10240,2016-12-02
...................\...............\Main_Chens.m,956,2011-07-07
...................\...............\Main_Duffing.m,995,2011-07-07
...................\...............\Main_Duffing2.m,997,2011-07-07
...................\...............\Main_Henon.m,935,2011-07-07
...................\...............\Main_Ikeda.m,1234,2011-07-07
...................\...............\Main_Logistic.m,897,2011-07-07
...................\...............\Main_Lorenz.m,1102,2011-07-07
...................\...............\Main_MackeyGLass.m,639,2011-07-07
...................\...............\Main_Quadratic.m,468,2011-07-07
...................\...............\Main_Rossler.m,1084,2011-07-07
...................\...............\RosslerData.c,3448,2016-12-02
...................\...............\RosslerData.mexw64,10240,2016-12-02
...................\CorrelationDimension_GP
...................\.......................\Contents.m,35,2011-07-07
...................\.......................\CorrelationIntegral.c,3166,2016-12-02
...................\.......................\CorrelationIntegral.m,673,2011-07-07
...................\.......................\CorrelationIntegral.mexw64,8704,2016-12-02
...................\.......................\LM1.m,303,2016-12-02
...................\.......................\LorenzData.mexw64,10240,2016-12-02
...................\.......................\Main_CorrelationDimension_GP.m,2311,2011-07-07
...................\.......................\PhaSpaRecon.m,1243,2011-07-07
...................\DelayTime_MutualInformation
...................\...........................\Amutual_lzb.c,5512,2016-12-02
...................\...........................\Amutual_lzb.m,1328,2011-07-07
...................\...........................\Amutual_lzb.mexw64,9216,2016-12-02
...................\...........................\Contents.m,20,2011-07-07
...................\...........................\LorenzData.mexw64,10240,2014-05-07
...................\...........................\Main_Mutual_Information.m,1434,2011-07-07
...................\DelayTime_Others
...................\................\AutoCorrelation.m,623,2011-07-07
...................\................\AverageDisplacement.m,955,2011-07-07
...................\................\ComplexAutoCorrelation.m,1011,2011-07-07
...................\................\Contents.m,42,2011-07-07
...................\................\LorenzData.mexw64,10240,2014-05-07
...................\................\Main_AutoCorrelation.m,992,2011-07-07
...................\................\Main_AverageDisplacement.m,989,2011-07-07
...................\................\Main_ComplexAutoCorrelation.m,1014,2011-07-07
...................\................\PhaSpaRecon.m,1243,2011-07-07
...................\EmbeddingDimension_FNN
...................\......................\Contents.m,25,2011-07-07
...................\......................\FNN.m,1313,2016-12-02
...................\......................\LorenzData.mexw64,10240,2016-12-02
...................\......................\Main_EmbeddingDimension_FNN.m,1588,2011-07-07
...................\......................\PhaSpaRecon.m,1243,2011-07-07
...................\......................\SearchNN2.m,12436,2011-07-07
...................\GeneralizedDimension_2D
...................\.......................\Contents.m,25,2011-07-07

...................\.......................\GeneralizedDimension_2D.m,2141,2016-12-02
...................\.......................\Main_GeneralizedDimension_2D.m,940,2011-07-07
...................\GeneralizedDimension_TS
...................\.......................\Contents.m,27,2011-07-07
...................\.......................\GeneralizedDimension_TS.m,3190,2016-12-02
...................\.......................\Main_GeneralizedDimension_TS.m,1148,2011-07-07
...................\.......................\wfbm.m,5571,2011-07-07
...................\install.m,777,2016-12-02
...................\KolmogorovEntropy_GP
...................\....................\Contents.m,32,2011-07-07
...................\....................\CorrelationIntegral.c,3162,2016-12-02

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • MIMO_capacity_EP_iid_final
    Calculate the capacity of MIMO system in iid channel model scenario and plot.
    2010-09-18 11:37:35下载
    积分:1
  • kmeansf
    kmean clustering algorithm. this code will take the training data set (with out class lebel) as input and return the no of optimum centre used in rbfn by using eucleadian distance.
    2012-05-28 22:59:49下载
    积分:1
  • Function-quick-manual-of-MATLAB
    matlab函数速查手册,修订版,里面详细介绍了matlab常用函数,给出了详细例子(Matlab function, quick manual revision, it introduced the commonly used matlab function, a detailed example is given)
    2014-08-26 17:09:19下载
    积分:1
  • CNN_Simple
    说明:  Particle swarm optimization
    2019-02-01 14:13:15下载
    积分:1
  • vectorquant
    VQLBG Vector quantization using the Linde-Buzo-Gray algorithm
    2009-03-14 00:12:30下载
    积分:1
  • ulcd32pt
    ulcd is a rgb color display lcd displa with touch secreen
    2010-11-29 13:48:46下载
    积分:1
  • SEGY
    Matlab读取Segy数据并简单处理,便于后续处理(Read Segy Matlab data and simple processing, easy to follow-up treatment)
    2011-05-05 11:51:54下载
    积分:1
  • PCA
    将多个变量通过线性变换以选出较少个数重要变量,是一种多元统计分析方法。(Analysis of the relationship between several variables and a special variable )
    2012-06-12 14:51:53下载
    积分:1
  • MATLAB-workshop-lecture-1
    matlab working instustion very good ppt
    2014-01-13 21:19:05下载
    积分:1
  • HEED、LEACH、非均匀分簇算法
    此文件夹包含了无线传感器网络中的几个经典模型leach,HEED, 分簇算法(This folder contains several classic models of wireless sensor network leach, HEED, clustering algorithm)
    2021-01-22 15:28:40下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载