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leijianfangchafenge
- 基于组织的粒子群优化的最大类间方差图像多阈值分割-Based on Particle Swarm Optimization organization the largest variance between-class multi-threshold image segmentation
lpccovar
- lpc协方差 lpc协方差 lpc协方差 lpc协方差-Covariance LPC LPC LPC Covariance Covariance Covariance LPC LPC LPC Covariance Covariance Covariance LPC
finalblock
- 对图像分块,计算每个块的均值和方差,并给出了结果的图象化表示,易于观察-Image sub-blocks, each block calculated the mean and variance, and gives the results of the image that is easy to observe
kl
- （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) t
GenGuassWin2D
- 指定方差和窗口的大小, 产生2维高斯平滑窗的源码.-Specified variance and the size of the window, resulting in 2-D Gaussian smoothing window of the source.
otsu
- 一种改进的基于Otsu理论的图像分割方法，从算法运行速度和分割效果两方面对最大类间方差法进行改进-An improved Otsu-based theory of image segmentation methods, from the algorithm speed and segmentation results both on the maximum between-class variance method to improve
SMI
- SMI(协方差矩阵求逆)算法是波束合成常用的算法。-SMI (covariance matrix inversion) algorithm is commonly used synthetic beamforming algorithms.
MethodsToSetUpAdaptiveController
- 本文是鄙人的自适应控制大作业，本文分模型参考自适应控制和CARMA模型的最小方差自适应控制，文中采用smulink仿真和matlab的m函数编程来实现自适应控制的内容，分析透彻，图表清晰，有很强的可阅读性，仅以本人微薄的努力和大家共鸣，共同进步，以后还会有精彩的内容奉上-This article is great I adaptive control operation, the paper sub-model reference ad
var2
- 我自己写的求二维矩阵的标准方差函数，因为本人毕设需要用到，可是在Matlab中我没有找到合适的函数，所以亲自写了一个，希望对一些朋友有用-I wrote it myself for two-dimensional matrix of standard deviation function, because I completed the set up needed, but in Matlab, I did not find a sui
thresh_md
- 基于最大类间方差准则的阈值分割算法。其基本思想是对像素进行划分，通过划分得到的各类之间的距离达到最大，来确定合适的门限。-Based on the maximum between-cluster variance criteria threshold segmentation algorithm. The basic idea is to divide pixels, obtained through the division of t
ConsoleApplication1
- 统计学的几个算法，包括计算平均值、中位数、众数、极差、离差、离差平方和、方差、标准差、标准差的无偏估计，以及变异系数。-Several statistical algorithms, including the calculation of average, median, mode, very poor from the poor, Ward, variance, standard deviation, standard deviat
the_biggest_between_class_variance
- 这是最大类间方差算法的源程序，我自己编的，运行没问题-This is the maximum between-cluster variance algorithm source code, I own and run no problem
leijianfancha
- 用类间方差对图像进行分割，并对其进行二值化-With between-cluster variance image segmentation, and its binarization
thresh
- 最大类间方差法的matlab实现，可以对灰度直方图呈现良好的双峰特性的图像进行有效的分割-Otsu method to achieve the matlab can histogram showed bimodal characteristics of a good image for effective segmentation
ar
- 含有噪声的余弦序列，分别采用周‘期图法’与‘改进协方差法’估计序的功率谱-Contain noise cosine sequence, were used weeks period diagram with the improved covariance method estimates the power spectral sequence
classify_using_Bayes
- classify using Bayes method. 使用Bayes方法进行两类分类，包括协方差相等和不等两种情况，非常适合初学者的程序。
pca
- PCA算法程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量 -PCA algorithm programming steps: 1 to mean 2, calcu
22
- 一种基于最大类间方差和区域生长的图像分割法-Based on maximum between-cluster variance and the region growing image segmentation method
mvnpdf
- 计算多维正态分布的概率密度值，给出均值和方差矩阵-Multidimensional normal distribution calculate the probability density values, given the mean and covariance matrix
svdexp2
- SVD去噪，构造的矩阵方法为对数据进行均匀分段，并对去噪前后的信噪比，均方差进行了对比。-SVD denoising, construction of the matrix method for the data sub-uniformity, and signal to noise ratio before and after denoising are compared variance.