sensorless_MRAS

用于UKF的matlab程序，希望对大家有点帮助，我也是试着修改的(ukf matlab programm)

胡广书（数字信号处理的算法及实现）光盘，非常好的数字信号处理教程，内含matlab算法(HU Guang-book (digital signal processing algorithms and implementation) CD-ROM, a very good digital signal processing tutorial, containing matlab algorithm)

很典型的求解线性矩阵不等式的程序，非常简单，对于学习求解线性矩阵不等式很有帮助(Typical procedure for solving linear matrix inequalities, very simple, for learning useful for solving linear matrix inequalities)

Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing，稀疏表示的最新巨作(Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing, sparse representation of the latest blockbuster)

An image-based classification application satisfying all the aims above has been implemented. It allows for flexible evaluation of SVM classification of facial expressions for arbitrary user-defined emotion categories and various SVM settings.

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.)

基于监督学习的一种非线性数据降维方法，可以很好地将低维特征从其所在的高维流形中提取出来，用于数据分类。(A nonlinear data dimension reduction based on supervised learning method, is a good way to the lower dimensional feature extracted from its place of higher dimensional manifold, used for data classification.)

matlab环境下调用excel绘制交通信息时空图(matlab，excel，transportation graph)

利用Mixed方法进行变量方差的分离分析，采用Henderson s Mixed Model Equations Algorithm算法(Mixed methods using variable separation and analysis of variance, using Henderson s Mixed Model Equations Algorithm Algorithm)

RBF神经网络自适应控制MATLAB仿真代码(RBF neural control )