GA

bioreactor control using a model bioreactor of W. Bequit. The result was compare with IMC

说明：  求解分形维数，采用功能函数法，很方便，从而很好的对分形几何进行分析(Solving the fractal dimension, function by function, it is convenient to a good analysis of fractal geometry)

LEACH (Low Energy Adaptive Clustering Hierarchy) is designed for sensor networks where an end-user wants to remotely monitor the environment. In such a situation, the data from the individual nodes must be sent to a central base station, often located far from the sensor network, through which the end-user can access the data. MODIFIED LEACH IS ENHANCED VERSION OF LEACH PROTOCOL TO SAVE ENERGY.

用matlab简单实现傅里叶变换的源程序(Easy to use matlab implementation of the Fourier Transform source code)

图片印刷字符的识别（可识别多种字体） 将Matlab工作空间路径设置为本文件夹 在Matlab命令窗口内输入： numCongnition( able1/01.jpg ) 通过改图片来对不同的图进行处理，其中able1,able2,able3三个文件夹分别对应三种字体 命令窗口输出要识别的字符，并且自动弹出中间处理过程窗口 也可以运行： num = pretreat( able1/01.jpg ) imshow(num) 直接得到预处理后的图片 再键入： getNumber(num) 得到字符输出 (Set the Matlab workspace path to this folder In the Matlab command window input: NumCongnition ( able1/01. JPG) Through change pictures to deal with different figure, including able1, able2, able3 three folders corresponding to three kinds of fonts Command window output to identify characters, and automatically process among popup Windows Can run: Num = pretreat ( able1/01. JPG) Imshow (num) Directly after preprocessing of images Type: GetNumber (num) Get the output character)

应用matlab简单实现镜头畸变的校正，可用于cmos ccd(Application of a simple implementation of matlab lens distortion correction, can be used for cmos ccd)

两个源文件进行最小冗余和最大相关特征选择，主要用于图像特征选择里面(Two source files and the maximum correlation minimum redundancy feature selection, which is mainly used for image feature selection)

对需要分析的振动信号进行预处理，消除趋势项(To deal with the vibration of the signal preprocessing, eliminate trend)

matlab数据描述工具箱，可用数据描述，可视乎以及检测(Matlab Toolbox data description, description of the available data, depending on the detection and)

Lasso问题用ADMM,BCD,cvx方法实现(The algorithms to solve lasso problem)