numerical-derivative-a-integral

Arquivo teste para gerar codigo de display nã o oque

matlab搭建非线性模型，求解微分方程(construction of nonlinear model)

盲信号处理研究论文，这是第二部分，包括三、四、五章以及摘要和目录。(Blind signal processing research papers, this is the second part, including three, four, five chapters, as well as a summary and directories.)

一个很好的卷积码编码编码程序（MATLAB）编写，希望队大家有所帮助。(A good coding procedure coding convolutional codes (MATLAB) to prepare, I hope everyone will help team.)

模拟退火的实现，使用matlab实现的，可以直接运行(simulated annealing，Matlab)

说明：  ransac算法Matlab 实现 RANSAC算法全称是随机抽样一致算法（random sample consensus,RANSAC），RANSAC算法的基本假设是样本中包含正确数据(inliers，可以被模型描述的数据)，也包含异常数据(outliers，偏离正常范围很远、无法适应数学模型的数据)，即数据集中含有噪声。(The ransac algorithm Matlab achieves the RANSAC algorithm's full name is the random sample consensus (RANSAC). The basic assumption of the RANSAC algorithm is that the sample contains the correct data (inliers, data that can be described by the model) as well as outliers (outliers). The normal range is too far to fit into the data of the mathematical model. That is, the dataset contains noise.)

处理数据，进行分析，最后得到台风的情况。情况分得彻底。(Data processing, analysis, and finally the case of the typhoon. Situation completely share.)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)

包含matlab模型和文档以及电路图，很实用的(Contains the the matlab model and documentation and schematics, very practical)

说明：  有限单元法及其应用 彭细荣，matlab在有限单元中的应用及其代码，可以应用其掌握该方法的弹性求解过程。 (matlab application finite element method )