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Average mutual information
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Mutual Information Feature Selection
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本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景
物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的
多光谱图像配准算法。-In this paper, multi-spectral image registration between images in different spectral gray there is a big difference, the same scene in different performance character
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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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I am including the code for Mutual Information calculation
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一共包含了5个ICA的算法，其中：
fastica.m文件中的ICA算法是基于负熵的；
m_fastica.m文件中的ICA算法是基于负熵的改进算法；
fastica_kurt.m文件中的ICA算法是基于峭度的；
fastica_ML.m文件中的ICA算法是基于互信息的；
NLPCA.m文件中的ICA算法是基于非线性PCA的。-Contains a total of five ICA algorithm, in which: fastica.m file in the ICA
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进一步解决基于互信息的配准算法在配准精度、速度和误配率之间的相互制约问题。提出一种新的配准参数搜索策略——三级配准，将平移、旋转参数分开搜索；在分析互信息配准的优点和局限性的基础上，将模糊理论中的欧几里德贴近度引入三级 配准过程中。实验结果表明，本文提出的配准策略在保持基于互信息配准精度不变的情况下，迭代步数、配准时间和误配率均有明显改善。-Further resolve the mutual information based registration algorithm in the ali
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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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Image Registration by Mutual Information
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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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what is entropy, mutual information, relative entropy
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mutual information 求时间延迟-mutual information tau
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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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Clustering Evaluation: Evaluate the clustering result by accuracy and normalized mutual information
Deng Cai, Xiaofei He, and Jiawei Han, "Document Clustering Using Locality Preserving Indexing", in IEEE TKDE, 2005. Bibtex source
bestMap
hun
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平均互信息函数，计算两个时间序列的互信息量，修改-The average mutual information function to calculate the mutual information of two time series, modified
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matlab程序，计算两幅图像的交互信息个各自的信息熵。-compute the mutual information of two images as well as their information entroy.
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a fuction calculates the entropy for a image: ientropy.m
a fonction calculates the joint entropy bethwin too images: jentropy.m
à fuction calculates the mutual information bithwin too images imf.m
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