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discretization
- 基于熵的属性离散化方法，参见《一种基于熵的连续属性离散化方法》-An entropy based algorithm for discretization of continuous variables
bbbb
- 摘 要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。-Abstract:This paperproposed a
fp
- 基于ICA的独立分量分析，目标函数是负熵，快速不动点算法-ICA-based independent component analysis, the objective function is negative entropy, fast fixed-point algorithm
spanc_me
- Performance Analysis of Non-Orthogonal CDMA with options for Minimum Entropy initialization
Y_FCMC_Ver.1.04
- README file for Yashil s FCM Clustering MATLAB (Y_FCMC) Toolbox Ver. 1.04 ------------------------------------------------------------------------- This MATLAB Toolbox contains M-files for the following clustering algorithms 1. Fuzzy C-Means
duodaipu
- 这个是多带谱语音检测，多带谱不仅具有谱熵的有点，还具有能量分析的有点，所以检测的效果很好！-This is a multi-band spectra of voice activity detection, multi-spectral bands not only has a bit of entropy, also has a bit of energy analysis, so the effect of a very good test!
filter1
- 高通滤波器，带通滤波器，数字FIR滤波器-The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory
ApEn
- To estimate approximate entropy for EEG signal or time series data
entropyFuncEnergy.m
- Entropy based energy function for seam carving algorithm
sang
- 一种基于信息熵的Matlab端点检测算法，抗噪性能比较好-Matlab based on information entropy of the endpoint detection algorithm, better anti-noise performance
mi
- 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
duochidushang
- 提出了一种基于数学形态学的多尺度熵权边缘检测方法。信息熵为图像的内在特性，由它来决定不同结构元 素所提取的边缘在最终合成边缘中所占的比重，是自适应的和客观的-A multi-scale based on mathematical morphology edge detection method of entropy. Information entropy inherent characteristics of the image, from which different structur
xinxishang
- ：将信息论中熵的概念应用到特征选择中，定义了两种信息测度评价特征——误差熵和混叠熵，然后阐述了两种定义的不 用物理意义，分析了计算熵中最关键的区间划分问题，并提出一种较好的区间划分方法。-: The concept of entropy in information theory applied to feature selection, the definition of information measure evaluation of two features- error entro
xinxishang
- 计算故障分类的每个属性的信息熵，选取最大的作为根节点-For fault classification information entropy of each attribute, select the largest as the root
medical_image_segment
- 使用最大熵法和二维最大商法实现医学图像的分割-Using the maximum entropy method and the largest commercial two-dimensional segmentation of medical images
Adaptive_particle_swarm_algorithm
- 自适应粒子群算法，自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。-Adaptive particle swarm algorithm, adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergenc
hhh5
- 基于信息熵的图像分割方法研究及其在DSP中的快速实现-Entropy-based image segmentation method and its fast implementation in the DSP in
anovelaprroachofimagefusion
- 一篇英文文献，文中介绍的方法是先把图像分块，用熵值作为衡量每块图像的信息多少；计算每个图像块的熵值，熵值越大，信息含量就多。但是仅仅把熵值大的图像块拼在一起得到的融合图像有明显的不连续性，文中介绍了消除这种不连续性的方法-An English literature, the paper introduces the method is to first image block, using entropy as a measure of how much each piece of image
huffman
- 数字图像处理中的编码技术。本程序对输入的图像进行哈夫曼huffman编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。本程序使用C++混合编程，已经编译生成了Matlab库文件，无需再与C++链接。程序包括源程序和源图像，以及编码后的结果图像。-Encoding digital image processing technology. The procedure of the input image Huffman huffman coding to show the ori
wenlitezhengtiqu
- 包括计算共生矩阵、对共生矩阵归一化、对共生矩阵计算能量、熵、惯性矩、相关4个纹理参数、求能量、熵、惯性矩、相关的均值和标准差作为最终8维纹理特征 -Including the calculation of co-occurrence matrix, normalized to the co-occurrence matrix, co-occurrence matrix calculation on the energy, entropy, moment of inertia, related t