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patternrecognitionfuzzyclassifiy0912
- 模式分类，提取的新特征，包括熵和尺寸特征，可分性好效果明显-pattern recognition ,new feature incuding entropy and size feature, better performance
Image_Feature_Selection_Method_Based_on_Immune_Enc
- 针对目标与背景两类图像模式识别问题,在已有的特征选择方法基础上,提出了一种新颖的基于免疫分子编码机理的图像特征选择方法(IACA). 该方法借鉴生物免疫系统的抗体分 子编码机理,在对样本进行参数估计情况下,提出熵度量单个特征对于目标和背景的识别敏感度 从集合的角度研究并且定义了特征之间的包含和互补关系 并且基于组成抗体分子氨基酸结合能量最小原则,提出了关于图像目标的免疫抗体构建规则 最终实现了寻找最优特征子集的算法IACA ,该特征子集的维数通过算法自动获得无需人为设定,选择结果为目标的“免
chip_histogram_features
- 特征提取是模式识别中最重要的一个部分，这里提供的matlab代码计算一些基本的话音特征，而且，提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括：特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征-Pattern recognition feature extraction is the most important part, here' s matlab code to compute so
flowercloud
- 基于云模型的花片特征提取算法，该算法通过云模型的逆向正态云发生器，由样本点信息，求解出三类花四个特征参数各自的数字特征：期望、熵、超熵。-Based on Cloud Model Motif feature extraction algorithm, which cloud model of reverse normal cloud generator, the sample point information, solving the three spent four the number o
shipingshangshiyang1
- 求信号的时频熵，对非平稳信号进行emd分解后，求时频熵，得出其故障特征-For the signal s time-frequency entropy, the nonstationary signals are EMD decomposition, and time-frequency entropy, the fault feature
d4ef13.ZIP
- 基于信息熵融合提取特征的发动机气路分析Based on the information entropy feature extraction engine gas path analysis-Based on the information entropy feature extraction engine gas path analysis
SFG
- 基于信息熵计算属性的信息增益，最终得到约简后的属性集，实现特征选择-Feature Selection based on information entropy gain, then the reduct of attributes are obtained.
feature_selection_similarity
- Feature selection method using similarity measure and fuzzy entroropy measures based on the article: P. Luukka, (2011) Feature Selection Using Fuzzy Entropy Measures with Similarity Classifier, Expert Systems with Applications, 38, pp.
Wavelet-Entropy
- 文中从小波变换的角度出发,通过在尺 度域上对信号能量的一种划分,引入了小波能谱与小波熵作为信号特征提取的特征量来反映系统信号的统计特征。实验结果表明,该算法能有效提取弹丸激波信号特征,速度快、准确率高,而且具有对噪声不敏感的优势。 -Paper, starting from the point of view of the wavelet transform, introduced by a division of the signal energy scale domain, wave
qiyipu
- 可以对工程上测得的信号进行求奇异普熵，提取特征向量-Seeking singular Pu entropy, extracting a feature vector can be the signal measured in the engineering
信息熵算法
- 基于Matlab平台开发的用于生理信号特征选择的程序算法，信息熵算法，主要用于特征选择，属于模式识别的一类。-The program used for physiological signal feature selection algorithm based on Matlab platform development, information entropy algorithm is mainly used for feature selection, belongs to a class
qiyizhi
- 对加噪信号进行奇异值分解。对奇异值计算其熵特征-Plus noise signal on the singular value decomposition. Calculate the entropy for the singular value feature
decision-tree
- 程序实现了生成决策树并使用决策树对离散特征向量进行分类。在判断是否要继续生成叶节点时采用entropy来作为impurity的measurement.-Program and use the decision tree decision tree to generate discrete feature vectors for classification. In determining whether to continue generating leaf nodes using entrop
ENtropy-Sift
- This Function Calculates The Difference of Gaussian for SIFT feature detection input parameter definition 1. Pyramid=image 2. NumOfLevel=levels to be calculated 3. InitSigma=initial variance of Gaussian-This Function Calculates The Di
sampleEntropy
- matlab程序，本程序为样本熵程序，程序可运行，是很好的特征提取参数.-matlab procedures, the procedures for sample entropy, the program can be run, is a good feature extraction parameters.
Sample-entropy-calculation
- 计算样本熵值程序，可实现故障信号特征提取，复杂度-Sample entropy calculation procedure can achieve signal feature extraction
approximate-entropy-matlab-program
- 通过近似熵函数 提取数据特征并画出曲线，可以直接运行-By approximate entropy feature extraction data and draw the curve, you can directly run
GLCM-feature-extraction-procedures
- 灰度梯度共生矩阵 H 归一化灰度梯度矩阵 H_basic 小梯度优势 T1 大梯度优势 T2 灰度分布的不均匀性 T3 梯度分布的不均匀性 T4 能量 T5 灰度平均 T6 梯度平均 T7 灰度均方差 T8 梯度均方差 T9 相关 T10 灰度熵 T11 梯度熵 T12 混合熵 T13 惯性 T14 逆差矩 T15-GGCM H normalized gray gradient matrix H
histogram feature
- Descr iption: % ------------ % This function is to obtain state of the art histogram based features % such as: % Mean % Variance % Skewness % Kurtosis % Energy % Entropy
feature_extraction
- %This is a function to compute the entropy of an image