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用作相空间重构分析的Lorenz 时间序列(Phase space reconstruction for the analysis of Lorenz time series)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

this the matlab tuning of pid with root locus

用MATLAB写的，关于数据挖掘的很多算法，如PCA,K-MEANS等，最重要的他是图形化界面(Written using MATLAB on a lot of data mining algorithms, such as PCA, K-MEANS, etc., the most important he is a graphical interface)

MATLAB7.0课本所有程序清单,共37章,特别适合初学者,可以帮助节省大量时间,又能看到结果(MATLAB7.0 books list all the procedures, a total of 37 chapters, particularly suitable for beginners that can help save a lot of time, can see the result)

交流永磁同步电机模糊PID控制和单纯PID控制比较，突出模糊控制的 优点，可供学习模糊PID和电机的人参考。(AC permanent magnet synchronous motor PID control and fuzzy PID control relatively simple, highlighting the advantages of fuzzy control for learning and motor fuzzy PID Reference.)

这是matlab编程基础课件，对初学者来说很好()

标准NOISEX-92噪声库，对于声音信号分析的人有用。(Standard noise NOISEX-92 library, the human voice signal analysis for useful.)

时间序列分析程序，matlab程序，学习使用(Time series analysis procedures, matlab program, learning to use)

在MATLAB中实现图像的局部二值模式处理，运行test函数即可使用。(Achieve a partial image in MATLAB binary mode processing, running test functions can be used.)