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high gain observer article

说明：  梯度下降法是一個一階最佳化算法，通常也稱為最速下降法。 要使用梯度下降法找到一個函數的局部極小值，必須向函數上當前點對應梯度（或者是近似梯度）的反方向的規定步長距離點進行疊代搜索。如果相反地向梯度正方向疊代進行搜索，則會接近函數的局部極大值點；這個過程則被稱為梯度上升法。(The gradient descent method is a first-order optimization algorithm, also commonly referred to as the steepest descent method. To find the local minimum of a function using the gradient descent method, an iterative search must be performed to the specified step distance point in the opposite direction of the gradient (or approximate gradient) of the current point on the function. If the search is reversed in the opposite direction to the positive direction of the gradient, it will approach the local maximum point of the function; this process is called the gradient ascent method.)

说明：  扩展卡尔曼滤波算法（EKF）在目标跟踪中的应用。(The application of extended Kalman filter (EKF) in target tracking.)

Implemented Gamma correction using matlab

real optimization algorithm for any function

说明：  Lecture on Week number 4

使用k均值算法对多个数据集进行分类，已测试通过，简单易懂(classification to many datasets using k-means algorithm ,simple and easy-understanding.)

automatic control model vehicle obstacle avoidance

主要是对MC-CDMA系统的仿真，基于MATLAB环境中的，对初学者有一定帮助。(Mainly for MC-CDMA system simulation, MATLAB-based environment, have some help for beginners.)

基于灰度的归一化匹配算法； 基于灰度的快速模板匹配算法。 (Based on the normalized intensity matching Based on Gray' s fast template matching algorithm.)