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4下载：
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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基于互信息的配准程序，matlab版的，内部包括测试图像为CT和ＭＲ。是老外编的，不错。, Matlab Program to find mutual information for two images stored as vectors.
The images must contain 8-bit (0-255) integer pixels
Requires two data vectors X,Y which must be the same length and Nx1
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使用互信息进行2D图像自动配准源代码,应用平均互信息,The use of mutual information for automatic registration 2D image source code, the application of the average mutual information
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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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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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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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基于最大互信息的图像配准算法源程序
用matlab编写的-Based on the maximum mutual information image registration algorithm using matlab source prepared
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提出了一种优化的图像配准算法。首先把图像中的兴趣点及其角度信息提取出来，利用互信息准则，得到需要的配对点，得到两幅或多幅图像的拼接自然的完整图像, 实验表明，该算法是有效的。-An optimized image registration algorithm. First of all, the image of interest points and their point of view of information extracted, using the criteria of mutu
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图象配准源程序一，
GUI界面，proj.m
图片选择窗口，testListBoxlj.m
二,最优化算法
PSO.m
POWELL.m
三，互信息尺度
MI.m
EMI.m
RMI.m
HiMI.m
GMI.m
FPMI.m
四，POWELL.m附属子程序
oneDimSearch.m
五，PSO.m附属子程序
myMI.m
六，配准结果检验程序
restore.m
七，
gob
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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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Mutual Information computation
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Mutual Information Feature Selection
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基于互信息的图像配准算法，优化算法采用Powell和粒子群向结合的算法-Based on mutual information image registration algorithm, using Powell optimization algorithm and particle swarm algorithm to combine
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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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EXIT图绘制过程中统计似然值分布并计算其与信息比特的互信息的两种算法-two algorithms for measuring the mutual information of likelihood values and symtematic information bits
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Joaquin Goñ i <jgoni@unav.es> &
Iñ igo Martincorena <imartincore@alumni.unav.es>
University of Navarra - Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
December 13th, 2
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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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This is an implementation of Mutual Information theory in Matlab. This code consists of three parts including: Entropy, Joint Entropy and Mutual Information matlab codes.
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