TheUnscentedParticleFilter

This paper deals with gesture reg technique. 2012 IEEE . Very good.

采用共信息(mutual information)实现了图像对齐的功能（image registration）。这在数据融合，图像处理里是很重要的。(adopt information (mutual information) to achieve alignment of the image features (i MAGE registration). This data integration, image processing, was very important.)

旋转经验正交函数，常用于海洋、气象专业，分析特征向量。(Rotated empirical orthogonal functions, commonly used in the marine, meteorology, analysis of feature vectors.)

利用matlab设计gui界面实现对图像的平滑、锐化、反转等处理(Using matlab design GUI interface processing for image smoothing, sharpening, reverse)

Lineflow algorithm in optimal power flow

一个实现Adaboost训练和分类的matlab程序，带数据(Adaboost training and classification procedures, with data)

用matlab制作的一个有趣程序，内容为打气筒打气球的动画演示。(Using matlab produced an interesting program, says playing balloon pump animation.)

线性和S型加减速下，数控机床的运行状态程序。(Linear and S type deceleration, running state of CNC machine tools.)

project on SRM drive system The file is a Matlab m-file with all of the input parameters for the two Simulink models and It must be run prior to running the Simulink models to create the input parameters in the Matlab workspace. Because it is a Matlab m-file, it can be opened to change model input parameters. Once you have changed a parameter in you must run it again before you run the Simulink model to update the Matlab workspace and have the change take effect. The file is a Matlab m-file with all of the input parameters for the Simulink model.

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)