Description: 关于混沌Kolmogorov熵的计算程序，在前人基础上自己编写的。已经用过很多混沌时间序列K熵的计算。-On chaotic Kolmogorov entropy calculation procedure, based on predecessors have written. Has been used a lot of chaotic time series K entropy calculations. Platform: |
Size: 3072 |
Author:张真 |
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Description: This function performs the one sample, two tailed Kolmogorov-Smirnov hypothesis
test on a set of data samples for a given cumulative distribution function. Platform: |
Size: 1024 |
Author:xie |
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Description: ApEn(近似熵)方法是测度熵的一种替代算
法,简单可靠,值得深入研究.
-.The correlation dimension obtained from this
method is optimal and the stable estimation of the Kolmogorov entropy is also obtained.
Platform: |
Size: 101376 |
Author:k |
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Description: 混沌计算程序源文件——包括计算Lyapunov指数的5种方法：C-C算法,最小数据量算法，G-P算法，关联维数法，互信息量法。-the original programs to calculate chaos in order to count the Lyapunov index out. Including 5 such methods: c-c method, minimum data method, G-P, mutual information method and correlation dimentional method. Platform: |
Size: 45056 |
Author:碶衫 |
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Description: A set (e.g. an image) is called "fractal" if it displays self-similarity: it can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole.
A possible characterisation of a fractal set is provided by the "box-counting" method: The number N of boxes of size R needed to cover a fractal set follows a power-law, N = N0 * R^(-DF), with DF<=D (D is the dimension of the space, usually D=1, 2, 3).
DF is known as the Minkowski-Bouligand dimension, or Kolmogorov capacity, or Kolmogorov dimension, or simply box-counting dimension.
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Size: 1681408 |
Author:piri_small |
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Description: Yuri Boykov s and Vladimir Kolmogorov s work on graph cuts and MRF optimization has been extensively cited in the academia, and their maximum flow implementation is widely used in computer vision and image processing research. Platform: |
Size: 139264 |
Author:utrade1 |
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Description: kstest_2s_2d.m：功能做两样本的二维Kolmogorov - Smirnov检验
它类似于MATLAB的内置函数的“kstest2“从统计工具箱除了“kstest_2s_2d“与二维数据处理。
[小时，pValue，KSstatistic] = kstest_2s_2d（为x1，x2，α，尾）
函数在两栏输入“ד，并以“ד，其中每一列代表一个维度。其他的选项和产出是相同的含义，是“kstest2“格式。
摘要算法（峰值，1983年）：考虑四个象限（十<的X，Y<Ÿ ），（十<X,y>年），（十>的X，Y<Y)和(x>的X，Y>Ÿ ）反过来，采取了两者之间的经验累积分布的四个最后堪萨斯州最大的统计学差异。
test_kstest_2s_2d.m：试验台的“kstest_2s_2d“
请随时与我联系，如果你发现代码中的任何错误。希望我的理解和实施正确的参考意见...
作者：秋艳鹏@欧洲经委会/香港科技大学
日期：2011年5月11日
参考文献：
茉莉孔雀，英国皇家天文学会每月通告202（1983）615-627“二维拟合优的拟合天文学测试“。-kstest_2s_2d.m: function to do two-sample two-dimensional Kolmogorov-Smirnov test
It s similar to the MATLAB built-in funtion "kstest2" from Statistics Toolbox except that "kstest_2s_2d" deals with two-dimensional data.
[H, pValue, KSstatistic] = kstest_2s_2d(x1, x2, alpha, tail)
The function takes in 2-column inputs "x1" and "x2", where each column represents one dimension. The other options and the outputs are of the same meaning and format as "kstest2".
Algorithm summary (Peak, 1983): consider the four quadrants (x<X,y<Y), (x<X,y>Y), (x>X,y<Y) and (x>X,y>Y) in turn, and adopt the largest of the four differences between the two empirical cumulative distributions as the final KS statistic.
test_kstest_2s_2d.m: test-bench of "kstest_2s_2d"
Please feel free to contact me if you find any bugs in the code. Hope I understood and implemented the ideas in the references correctly...
Author: Qiuyan Peng @ ECE/HKUST
Date: 11th May, 2011
Refere Platform: |
Size: 3072 |
Author:abeaqhax |
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Description: Several matlab Mfiles for the simulation of stochastic processes in finance and engineering, wienner, random walk, brownian motion, two gamble etc. in addition ot solution to forward and backward Chapmann-Kolmogorov equation-Several matlab Mfiles for the simulation of stochastic processes in finance and engineering, wienner, random walk, brownian motion, two gamble etc. in addition ot solution to forward and backward Chapmann-Kolmogorov equation Platform: |
Size: 52224 |
Author:sina |
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Description: 判断序列是否为混沌序列的kolmogorov熵值和李雅普诺夫指数计算-Determine whether a sequence is the Kolmogorov entropy of chaotic sequence and calculation of Lyapunov exponent Platform: |
Size: 1024 |
Author:黄子轩 |
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Description: 混沌时间序列Matlab源程序,包含时间序列的时间延迟计算，关联积分计算，相空间重构，时间序列分解，Heaviside函数的计算，延迟时间和时间窗口计算，混沌吸引子关联维计算，重构相空间进行K_L变换，混沌吸引子关联维计算，Hurst指数分析，关联维和Kolmogorov熵计算，FFT计算序列平均周期，最大lyapunov指数计算，利用互信息法求时间延迟，混沌和噪声识别的源程序。-Matlab chaotic time series source, time includes the time series of delay calculation, correlation integral calculation, phase space reconstruction, time series decomposition, calculated Heaviside function, the delay time and the time window calculated correlation dimension of chaotic attractors calculated reconstruction phase space K_L transform computing correlation dimension of chaotic attractors, Hurst exponent analysis, correlation dimension and Kolmogorov entropy calculation, FFT calculation sequence averaging period, maximum lyapunov index, mutual information method the time delay, chaos and noise source identification. Platform: |
Size: 26624 |
Author:马喆 |
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Description: Matlab程序获得Kolomogorov forward/backward 方程的数值解(Kolmogorov's forward/backward equation for the SDE, which finds the density of the solution of a stochastic differential equation.) Platform: |
Size: 2048 |
Author:hermesocean
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