MATLAB_SIMULINK_in_power_system

说明：  前辈门的报告和自己的程序，吴镇扬老师的那本DSP上所有的实验matlab源码和问答题目的解答(The report and its predecessors door procedure, Zhen-Yang Wu teachers that all the experiments the DSP matlab source code and answers to quiz questions)

此用于MATLAB的初学者，很实用的简单的函数MATLAB表示。(It is useful.)

自适应波束形成技术程序代码（有注解） 包括1.均匀线阵方向图2.波束宽度与波达方向及阵元数的关系当阵元间距时，会出现栅瓣，导致空间模糊 类似于时域滤波，天线方向图是最优权的傅立叶变换5.最大信噪比准则方向图和功率谱6.ASC旁瓣相消----MSE准则7.线性约束最小方差(LCMV)准则(Adaptive beamforming technology code (Annotated))

LMD经验模态分解matlab程序，可以运行的(LMD (Local mean decomposition)(matlab))

用BFGS更新矩阵的信赖域法解优化问题的MATLAB程序(Trust Region Method For Solving Optimization Problem)

说明：  本资源运用Matlab中的计算机视觉技术对视频监控中的运动人体的一些异常行为进行研究分析，涉及到了运动目标检测以及跟踪和人体异常行为检测等几个方面。背景模型的建立则是分别利用了中值滤波法和二值化背景模版建模法，通过帧间差分 来实现不断更新背景模版。在检测运动人体异常行为中，本文在检测运动人体跌倒的异常行为时利用外接矩形来确定运动人体及其质心，并通过定义一些特征算子来把人体行为进行量化，从而判断是否行为异常。(In this paper, we use matlab technology to detect abnormal human movement and video resources. The background model is established by using the median filtering method and the binary background template modeling method, through the frame difference To update the background template constantly. In the detection of abnormal behavior of moving human body, this paper uses the outer rectangle to determine the moving human body and its center of mass, and defines some characteristic operators to quantify the human behavior, so as to determine whether the abnormal behavior.)

随机产生一QPSK调制信号，通过一随机产生的低通滤波器，然后使用LMS算法实现了系统哦你的辨识。(Randomly generate a QPSK modulation signal generated by a random low-pass filter, and then use the LMS algorithm of the system Oh, your identification.)

说明：  matlab仿真例程，是支持向量机工具箱（matlab），可用于模式分类，模式识别 Nu_SVC二类分类算法(matlab simulation routines, support vector machine toolbox (matlab), can be used for pattern classification, pattern recognition Nu_SVC second-class Classification Algorithm)

说明：  该算法是rock算法的主体算法，主要用于数据的聚合处理(The algorithm is the algorithm of the main algorithm rock, mainly for data aggregation processing)

使用google gears离线技术来实现的一个小web程序(Use google gears offline techniques to achieve a small web application)