PV_MPPT

说明：  matlab的m文件，sobel边缘检测(matlab m-file, sobel edge detection)

上传程序为灰色-FLP去噪程序，能有效去除陀螺信号中的白噪声.(The uploaded program is called Grey-FLP algorithm, the white noise of Gyro s signal can be eliminated effectively.)

This paper investigates the behavior of one particular near-far resistant detector, the parallel fractional adaptive detector

基于matlab的超像素图像分割算法实现代码，将图像分割为小块表示(Matlab-based super-pixel image segmentation algorithm code, the image is divided into small representation)

新型开关磁阻风力发电系统研究，风力机模型，最大功率跟踪仿真(The new wind power systems research Switched Reluctance, wind turbine model, maximum power point tracking simulation)

偏微分方程的MATLAB解法 对学习matlab环境下计算偏微分方程有很好的帮助。同时，也可以用其中的PDEOOL为计算流体力学中的二维问题生成三角形网格，减少前处理工作量(Solution of Partial Differential Equations MATLAB computing environment for learning matlab partial differential equations have a good help. Also, you can use one of the PDEOOL for the two-dimensional computational fluid dynamics problems in the triangular mesh generated, reduce the workload of pre-treatment)

牛顿方法用于优化问题，其中包括最初等的牛顿方法。以及初始点不可行的算法。(Newton optimization)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

说明：  研究目标跟踪的状态估计方法，最小二乘估计，Kalman滤波，扩展Kalman滤波，无迹Kalman滤波以及粒子滤波等，理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory and MATLAB source program are studied.)

Spectral Methods in MATLAB - Lloyd N. Trefethen src(Spectral Methods in MATLAB- Lloyd N. Trefethen)