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Description: kolmogorov最大流算法的实现，程序可调试，可用-the implement of maxflow
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Author: 戴超 |
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Description: kolmogorov提出的最大流算法代码，可运行，里面有具体事例-Max flow
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Size: 17408 |
Author: 戴超 |
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Description: 求混沌时间序列K熵(Kolmogorov Entropy)STB算法-Seeking chaotic time series K entropy (Kolmogorov Entropy) STB algorithm
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Size: 6144 |
Author: 52 |
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Description: 有时间序列方法和技术的兴趣大增。从人，自然收集的信息几乎每一件，和生物过程是容易随时间的变化，以及这些变化如何发生的研究是一个中心问题充分理解这样的过程。所有的时间序列数据挖掘任务的分类中，可能是最突出的一个。在时间序列的分类有大量的实证研究，在时间域表明近邻规则是非常有效的。然而，一定的时间序列特征不在这个领域很容易地识别和表达的变化可能揭示了一些重要的和未知的特征。在这项工作中我们提出了递归图的使用对于时间序列的分类表示域。我们的方法复发措施地块使用坎帕纳基奥之间的相似性（CK-1）的距离，一个基于Kolmogorov复杂性的距离，利用视频压缩算法来估计图像的相似性。我们表明，递归图与CK-1距离导致比欧氏距离和动态时间翘曲在几个数据集的准确率显著提高。虽然复发地块不能用于所有的数据集提供准确率最高的，我们证明了我们可以预测未来的时间，我们的方法将跑赢时间表示欧氏距离和动态时间弯曲距离。-There is a huge increase of interest for time series methods and techniques. Virtually every piece of information collected human, natural, and biological processes is susceptible to changes over time, and the study of how these changes occur is a central issue to fully understand such processes. Among all time series mining tasks, classification is likely to be the most prominent one. In time series classification there is a significant body of empirical research that indicates that k-nearest neighbor rule in the time domain is very effective. However, certain time series features are not easily identified in this domain and a change in representation may reveal some significant and unknown features. In this work we propose the use of recurrence plots as representation domain for time series classification. Our approach measures the similarity between recurrence plots using Campana-Keogh (CK-1) distance, a Kolmogorov complexity-based distance that uses video compression algorithms to
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Author: 裴孟菲 |
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Description: 用C语言编制的代码，同时计算关联维数和K熵-C language code, while computing correlation dimension and K entropy
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Size: 21504 |
Author: 刘永坚 |
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Description: In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the Bayesian setting, the term MMSE more specifically refers to estimation in a Bayesian setting with quadratic cost function. In such case, the MMSE estimator is given by the posterior mean of the parameter to be estimated. Since the posterior mean is cumbersome to calculate, the form of the MMSE estimator is usually constrained to be within a certain class of functions. Linear MMSE estimators are a popular choice since they are easy to use, calculate, and very versatile. It has given rise to many popular estimators such as the Wiener-Kolmogorov filter and Kalman filter
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Size: 1024 |
Author: nagendra |
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Description: In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the Bayesian setting, the term MMSE more specifically refers to estimation in a Bayesian setting with quadratic cost function. In such case, the MMSE estimator is given by the posterior mean of the parameter to be estimated. Since the posterior mean is cumbersome to calculate, the form of the MMSE estimator is usually constrained to be within a certain class of functions. Linear MMSE estimators are a popular choice since they are easy to use, calculate, and very versatile. It has given rise to many popular estimators such as the Wiener-Kolmogorov filter and Kalman filter.
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Size: 1024 |
Author: Said |
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Description: kolmogorov功率谱反演，次谐波补偿的方法生成大气湍流相位屏-kolmogorov phase screen,kolmogorov,including subharmonic
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Size: 1024 |
Author: luoruiyao |
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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.
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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.)
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Size: 2048 |
Author: hermesocean
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Description: Kolmogorov谱模型下，球面波的大气闪烁方差。(Atmospheric scintillation variance of spherical waves under Kolmogorov spectral model.)
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Size: 22528 |
Author: Davin
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Description: K-S，即kolmogorov检验法，亦称拟合优度检验法。用来检验给定的一组数据是否来自分布F=F0，原理是若H0成立，则max|v/n-F0(qj)|应该很小，用手算几乎在绝大多数情况下是不可能的，通常借助统计软件，如SAS，S+等(K-S, namely Kolmogorov test, also known as goodness of fit test. It is used to test whether a given set of data comes from the distribution F=F0, and the principle is that if the H0 is set up, the max|v/n-F0 (QJ) should be very small, and the hand calculation is almost impossible in most cases, usually with the aid of statistical software, such as SAS, S+, etc.)
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Size: 14336 |
Author: old_chen |
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