zhiqiejiebaoguo

异步电动机直接转矩控制模型，simulink仿真模型，改进后的直接转矩控制(Asynchronous motor direct torque control model, simulink simulation model, the improved direct torque control)

多输入多输出系统不同收发天线对系统性能的影响(Multiple-input multiple-output system transceiver antenna different impact on system performance)

绝对好的！用matlab实现的车牌识别程序，包含字符提取和字符切割模块的程序和字符模板(Absolutely good! License plate recognition using matlab implementation procedures, including character extraction and character segmentation module of the program and character templates)

图像霍特林变换源代码，可实现图像的kl变换(Hotelling transform image source code)

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.)

The function simply works just like "Microfit", so it would be helpful for economists with ARDL (autoregressive distributed lag) estimation. Also this function can be used for the future selection aims.

提取图像sift特征，并且showkey函数在图像上直观的显示出来(Sift extracted image features, and showkey function in the image displayed on the intuitive)

利用TM图像，反演各种海面环境因子，例如海面温度，泥沙含量，叶绿素a等。(TM image using the inversion of various sea environmental factors, such as sea surface temperature, sediment content, chlorophyll a and so on.)

Ellipse of Concentration matlab function. The objective of the function is to compute and plot ellipse of constant probability density of error distribution.

MATLAB图像处理实例详解，可配合书学习，其中代码有几处小错误，不影响学习，可自行改正，正好练习代码(MATLAB image processing example explanation, and with book learning, in which the code has several small errors do not affect learning, self-correction, just practice code)