搜索资源列表
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利用MATLAB计算两张图像的信息熵及其互信息.,calculate the entropy of information
calculate the mutual information of two information.
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互信息程序编码,是基于MATLAB环境下,Mutual information procedure codes, is based on the MATLAB environment
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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 correlati
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计算两组信号互信息熵值的算法,采用matlab编程,可直接调用函数-Two sets of signals calculated values of mutual information method, using matlab programming, call the function directly
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基于互信息理论的最大相关排序算法,可应用于各领域的特征选择。-Maximum mutual information based relevance ranking algorithm theory can be applied to all areas of feature selection.
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mRMR_0.9_compiled最小冗余和最大相关特征选取源代码,-This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method, whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent pu
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贝叶斯(Bayesion)机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
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互信息法求混沌序列的最优时延
文件说明:
1、Mutual_Information_main.m 主文件,直接运行此程序即可
2、LorenzData.dll 产生Lorenz离散序列
3、Mutual_Information.dll 互信息函数
4、buffer.dll 缓存文件-Mutual information method for optimal time-delay chaotic sequence document describes: 1,
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利用最小互信息实现向量的特征选择,优化分类器的设计,原创-The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality
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一种新的方法,可以自动对两幅图像进行刚性配准。采用matlab和c++混编,速度得到一定的提高。-Rigid body 2-D image co-registration (translation and rotation) is performed using maximization of mutual information.
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data reduction with fuzzy rough sets or fuzzy mutual information
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fuzzy rough sets or fuzzy mutual information
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Mutual Information computation
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用于非线性时间序列分析的软件包。可用于计算:时间延迟重构,分形维数,互信息,Lyapunov指数,替代数据集,最近临点统计,回归时间,庞加莱截面,非线性预测-TSTOOL is a matlab software package for nonlinear time series analysis. TSTOOL can be used for computing: Time-delay reconstruction, Lyapunov exponents, Fractal dimensions
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MIMO-OFDM系统无线衰落信道容量分析,适合做无限通信的研究-Characterizing the Statistical Properties of Mutual Information in MIMO Channels
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Matlab实现的图像配准程序,运用互信息,PSO等进行了优化。
-Matlab to achieve image registration procedures, the use of mutual information, PSO, etc. were optimized.
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matlab 互信息理论主要函数的工具包,包括互信息,熵的计算公式等程序-the main function of mutual information theory matlab toolkit, including the mutual information, entropy calculation
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粗糙集代码
data reduction with fuzzy rough sets or fuzzy mutual information
fuzzy preference rough set based feature evaluation and selection
-Rough code data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set bas
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图像配准中的两幅图像的归一化互信息计算方法代码-Image registration of two images of the normalized mutual information method code
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conditional entropy, entropy, joint entropy, mutual information, relative entropy basic features are implemented in matlab approach
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