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peizhun
- 互信息matlab, 混沌时间序列分析与预测工具箱 Version1.0 点这里下载: 混沌时间序列分析与预测工具箱 Version1.0 chaotic time series analysis and prediction matlab toolbox - version 1.0 1、该工具箱包括了混沌时间序列分析与预测的常用方法,有
lyapunovindex.rar
- 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
Bayesian-machine-learn-data-mining
- 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
Mutual_Information
- 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,
im_registr_MI
- 基于最大互信息的图像配准算法源程序。 matlab编写。-Maximum mutual information based on the source image registration algorithm. the preparation of matlab.
peizhun
- 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.
MI
- 基于互信息的医学图像配准算法中的互信息的matlab程序-MI
registration
- 图像配准,首先实现了简单的图像预处理,然后根据两种不同的配准准则,互信息和边交互方差作图像配准-Image registration, first of all to achieve a simple image pre-processing, and then two different registration criteria, mutual information and edge interaction variance for image registration
calMultiInfo
- 基于matlab得计算两幅图像的互信息得程序。-Matlab calculation based on two images of each other may have to process information.
shangdematlab
- 熵与条件熵,疑义度,噪声熵,互信息等计算程序熵与条件熵,疑义度,噪声熵,互信息等计算程序-Entropy and conditional entropy, equivocation, noise Entropy, mutual information, and procedures for Entropy and conditional entropy calculation, doubt, noise Entropy, mutual information calculation progra
RegsiterFM
- 这是基于互信息的图像配准程序,实现起来比较简单,是用matlab实现的-This is based on mutual information image registration procedure is relatively simple to achieve them, is achieved using matlab
MI
- 计算图像间的互信息量,从而有效衡量图像间的相关程度。-mutual information of image
entropy
- 熵,联合熵,条件熵,平均互信息量的通用计算程序-Entropy, joint entropy, conditional entropy, average mutual information of the general-purpose computer program
Registration
- 基于互信息的医学图像配准 matlab程序-image registration based on mutual information matlab
MI
- 基于最大互信息的图像配准程序 gui界面 -image registration based on mutual information gui
RegistrationPCurve
- 图像配准--最大互信息配准,是用MATLAB编程实现的-Maximum mutual information registration
MI_Optimization
- 使用互信息配准,效果很好,使用的是matlab(MI registration.Using matlb to develop)
图像清晰度评价指标Matlab
- 图像清晰度评价函数说明 1、熵: 表示图像所包含的平均信息量的多少,嫡值越大则所含信息量越多。 文件名:entropy.m 结果:EN 2、交叉嫡:反映两幅图像的差异,交叉嫡越小,则融合图像和原图像的差别越小。 文件名:cross_entropy.m 结果:平均交叉嫡MCE,均方根交叉嫡RCE 3、峰值信噪比: PSNR越高,说明融合效果与质量越好。 文件名:psnr.m 结果:PSNR 4、Qabf: 评价边缘或梯度质量,越大边缘越明显 文件名:Qab
minfo
- matlab用于计算变量间互信息的代码,可用于特征筛选(Matlab code for calculating mutual information between variables)
信息论01
- 此代码为计算离散随机变量的熵、联合熵、条件熵、互信息的 Matlab 程序(This code is a matlab program for calculating entropy, joint entropy, conditional entropy and mutual information of discrete random variables)