mlsr

用matlab进行monte-carlo的一般数值积分求积例题。稍微的一个小例子(Using matlab to monte-carlo quadrature numerical integration of general examples. A small example of a little)

地震波合成程序，用于生成人工地震波！！！！！！(Seismic wave synthesis procedures used to generate artificial seismic waves! ! ! ! ! !)

MATLAB2013超级教程，包含matlab的各种功能使用方法，适合初学者(MATLAB2013 super tutorials, contains a variety of functions to use matlab for beginners)

這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式(1- Read the RGB (colored) image in from user. 2- Convert image from (RGB) colored to gray image. 3- Threshold the image (convert gray image to binary image). 4- Invert the binary image (in order to speed up the time of processing). 5- Find the boundaries concentrate. 6- Determine shapes properties (ratio of dimensions, roundness). 7- Classify shapes according to its properties. )

这是关于中心大动脉与外围动脉如桡动脉，股动脉的临床医学数据，用这些数据进行盲辨识与估计(This is the main artery on the central and peripheral arteries such as the radial artery, femoral artery of the clinical data, using these data for Blind Identification and Estimation)

New Beamforming Techniques Based on Virtual SINR Maximization for Coordinated Multi-Cell Transmission

MATLAB实现的小波彩色图像水印的嵌入与提取 运行需要读取原始图片和水印图片(Wavelet transform color image watermark embedding and extraction)

Signal Combination by s-parameters

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

NWFE:Nonparametric Weighted Feature Extraction for Classification，线性分类方法，类似于改进了了的LDA，使用中，结果有时候比SVM等好(classification, NWFE:Nonparametric Weighted Feature Extraction for Classification)