-
line-ellipse-nihe
说明： 提取直线，圆,使用的是计算快速的matlab平台，对图形图像处理挺有帮助的(line ellipse nihe ,you can try it!matlab yuan dai ma)
- 2011-02-19 08:55:29下载
- 积分：1
-
Zbus
program for calculating load flow in power system
- 2011-08-09 02:13:02下载
- 积分：1
-
juzhengongneng
矩阵功能的演示 首先显示矩阵 所有数据按照MATLAB中的矩阵操作实例实现(Matrix function shows the first display all the data matrix in the matrix operation in accordance with examples of MATLAB Implementation)
- 2010-06-24 16:19:57下载
- 积分：1
-
Hmatrix
这是生成的H矩阵，可以用于MATLAB仿真和C语言仿真(This is the generation of H-matrix, can be used in MATLAB simulation and C language simulation)
- 2008-05-15 09:44:59下载
- 积分：1
-
mixture_of_gaussians
这个程序是基于混合高斯背景模型的运动目标检测算法，m文件和所用视频放到matlab的工作目录下即可运行(This program is based on the Gaussian mixture background model of moving target detection algorithm, m, and used video files into matlab working directory to run)
- 2011-08-21 16:44:22下载
- 积分：1
-
RGB_to_AVI
这个程序能够将图像序列合并成一个avi格式的视频，用于matlab软件处理(This application can merge into an avi format video image sequence, used to deal with the matlab software)
- 2013-03-16 10:48:19下载
- 积分：1
-
duoxiangshinihe
说明： 多项式拟合用于处理实验数据的一种有效方法，简单实用。并且举了一个例子三次拟合(Polynomial fitting of experimental data for processing is an effective method of simple and practical. And cited an example of three fitting)
- 2010-03-22 12:22:34下载
- 积分：1
-
add-missing-data
这是一个Matlab程序，用牛顿插值法，补充缺失的数据，从而保证了数据的完整性。(This is a Matlab program, using Newton s interpolation method, add missing data, thus ensuring data integrity.)
- 2020-07-04 06:00:01下载
- 积分：1
-
distribution
two case distribution-system mfile
- 2013-09-20 12:02:58下载
- 积分：1
-
Mahalanobis
马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)
- 2021-02-07 08:59:55下载
- 积分：1
