fwd1st2rmrin2nd2rctscan

funç ã o que implementa o contrast strech

this code finds out the array factor of ULA

说明：  MATLAB课堂考勤（GUI） 该课题为基于MATLAB pca的人脸考勤系统。可以从一副图像中找出多人人脸，分割，计算人数，然后提前制作好这些人的人脸库，进行逐一识别是谁，是不是库内人脸，如是，具体是谁，如果不是，那提示库外人脸。具有友好的人机交互界面，还可以二次开发成摄像的，但是摄像头误差可能会有点。识别流程为：读取图像，人脸定位，人数统计，人脸分割，人脸识别，库内外判别。(The subject is face attendance system based on MATLAB PCA. We can find multiple faces from an image, segment and calculate the number of people, and then make a face database of these people in advance to identify who they are one by one, whether they are the faces in the database, if so, who they are, and if not, prompt the faces outside the database. It has a friendly human-computer interface and can be developed into a camera again, but the camera error may be a little bit. The recognition process includes: image reading, face location, number of people statistics, face segmentation, face recognition, identification inside and outside the database.)

有限元方法分析典型结构,采用六节点三角形单元(This programming give an order 6 triangulation, an abstract list of sets of six nodes. The vertices are listed clockwise, then the midside nodes.)

用Matlab绘制出三维的红色心，但是不能动，希望改进(Use Matlab to draw three-dimensional red heart, but can not move, want to improve)

时间序列ARMA建模，适用于各种ARMA建模，非常好用的通用程序(Time series ARMA modeling, suitable for all kinds of ARMA model, general program is very nice)

说明：  严恭敏博士的传递对准仿真程序，值得一看，推荐初学者学习(Dr. Yan Gongmin's transfer alignment simulation program, it is worth a look, recommend beginners to learn)

Código que implementa modulaç ã o PAM com sample-and-hold

详细介绍了各种先进的PID控制方法，并用Matlab对各种方法进行了仿真分析。相信对广大工程技术人员有所裨益。(detailed description of the various advanced PID control method Matlab and used various methods to the simulation analysis. I believe that the majority of engineering and technical personnel benefits.)

非线性扩展卡尔曼滤波算法的matlab程序(Description:This is a tutorial on nonlinear extended Kalman filter (EKF). It uses the standard EKF fomulation to achieve nonlinear state estimation. Inside, it uses the complex step Jacobian to linearize the nonlinear dynamic system. The linearized matrices are then used in the Kalman filter calculation. The complex step differentiation seems improving the EKF performance particularly in accuracy such that the optimization and NN training through the EKF are better than through the UKF )