matlab

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)

Here,we want to estimate a system with ARX and ARMAX. the euation of system is : 2(s+1)/s^2+2s+2 so first, we find the discrete equation that sampling frequency is 100ms. Here,in our sample,na=nb=2,nc=1 also ,this algorithm find the poles and zeros of the system.

说明：  卡尔曼滤波简单例程，一维情况。An Introduction to Kalman Filter中的例子。(Kalman filter is simple routines, one-dimensional situation. An Introduction to Kalman Filter in the example.)

I performed my motion detection on matlab

用c程序和matlab分别试验一种k-means改进算法，按照方法选取聚类中心点，事实证明，这种改进是有效的。(Matlab with c procedures and were experimenting with an improved k-means algorithm, in accordance with the method of selecting cluster center, the facts show that this improvement is effective.)

this file includes the matlab code of Jensen similarity measure.

开关磁阻风力发电系统数字信号处理器28335程序，双闭环(Switched Reluctance wind power generation system 28335 digital signal processor program, dual-loop)

压缩算法，matlab。很棒好的代码，要下的赶快了啊(Compression algorithm, MATLAB. Great good code to the next, quickly)

提出了采用小波包的方法对供暖双吸式离心水泵轴承振动信号进行去噪和提取表征 相应轴承故障的频带能量 并采用 BP 神经网络进行训练和故障识别 通过 MATLAB 进行了仿真经试验验证该方法能够有效地识别出轴承故障(The wavelet package is adoptted to De-noise and extract band energy that represent bearing fault. and the BP neural network is adopting to train and recognize faults. Through MATLAB simulation, After the test validate the method, it can effectively recognize the bearing fault.)

LMS 算法的MATLAB实现 (LMS)