zishiying-

包含pid控制器的一些程序，能够生成有故障或无故障数据，为一些相应matlab仿真提供数据(we can use it to produce pid-data)

Optimum MUD for DS-CDMA in Multi-Path Fading Channel K USERS

this is a project for voice recognition in matlab using vector quantization.

液压系统仿真,仿真了液压系统负载特性、温度特性以及不同飞行阶段的特性。(Hydraulic system simulation, simulation of the hydraulic system load and temperature characteristics, and characteristics of different flight phases.)

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.)

Okumura analyzed path-loss characteristics based on a large amount of experimental data collected around Tokyo, Japan. He selected propagation path conditions and obtained the average path-loss curves under flat urban areas. Then he applied several correction factors for other propagation conditions, such as: Antenna height and carrier frequency Suburban, quasi-open space, open space, or hilly terrain areas Diffraction loss due to mountains Sea or lake areas Road slope Hata derived empirical formulas for the median path loss (L50) to fit Okumura curves.

parzen algorithm, gaussian and hypercube, there are 4 files, I hope they are useful for you

bark to freq transformation

flames for matlab application

输入线性方程组的增广矩阵，运行就能求解出方程解~(Input linear equations augmented matrix, run out the equations can be solved ~)