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关于非线性时间序列中同时计算关联维和Kolmogorov熵的程序,-on nonlinear time series simultaneously calculate the correlation dimension and Kolmogorov entropy procedures,
Date : 2025-12-25 Size : 31kb User : gxsh

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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.
Date : 2025-12-25 Size : 3kb User : 张真

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在Matlab环境下,关于近似熵的计算程序
Date : 2025-12-25 Size : 1kb User : Nick

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.
Date : 2025-12-25 Size : 44kb User : 碶衫

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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.
Date : 2025-12-25 Size : 136kb User : utrade1

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
Date : 2025-12-25 Size : 3kb User : abeaqhax

已调试好的数据分布的拟合与检验的matlab程序源代码,内容有卡方拟合优度检验、jbtest函数检验、Kolmogorov-Smirnov检验和画频率直方图-failed to translate
Date : 2025-12-25 Size : 2kb User : 胡盛亮

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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
Date : 2025-12-25 Size : 1kb User : 黄子轩

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.)
Date : 2025-12-25 Size : 2kb User : hermesocean
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