clear-all

radar code it is for phase memo radar which use to detect anymies and increae beam width and efficiency

有详细的注释，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,最小均方误差（MMSE）的算法。( There are detailed notes, Monte Carlo simulation method of calculating the American option price and basic description, Minimum mean square error (MMSE) algorithm.)

Zhang和Tan提出一个改良Niblack的方法(Zhang and Tan proposed a modified Niblack s method)

基于matlab的双馈风力发电系统仿真模型，在不同风速条件下，系统的响应仿真(Matlab double-fed wind power generation system simulation model under different wind conditions, the response of the system simulation)

基于MATLAB的Simulink动态仿真集成环境.(MATLAB-Simulink based dynamic simulation integrated environment.)

用趋近律方法设计的滑膜控制器算法例程，模型对象为G(s)=133/s(s+25).(Reaching law designed by synovial controller algorithm routines, model objects for the G (s) = 133/s (s+25).)

同步电机直接转矩控制的mdl控制 使用转矩和磁链给定 可以很好的跟踪给定值(Synchronous Motor Direct Torque Control mdl control the use of torque and flux can be a good track given setpoint)

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

说明：  谐波检测基于瞬时功率的pq法，检测电流谐波分量图(Harmonic detection based on PQ method of instantaneous power to detect current harmonic component diagram)

collection of adaptive lab programs