Matlab

按照说明,将此包内相应文件包替换Matlab r2007a安装目录下相应该包,就可以让matlab r2007a运行在win7的主题下(matlab r2007a installl on windows7)

说明：  matlab实现视频中动态目标跟踪，试验过，可以用，帧插法实现(matlab dynamic target tracking in video, tested, you can use, frame interpolation to achieve)

说明：  用Matlab实现回归分析与检验,并建立其系统界面；对给定的试验数据进行回归分析并作检验(Regression analysis using Matlab implementation and testing, and establish the system interface on a given test data for testing the regression analysis and)

数字相控阵雷达fft多波束形成算法，简单易懂(Digital phased array radar fft multi-beamforming algorithm, easy to understand)

this code in used in neural network mlp with back propagation training algorithm and geradian descends algorithm for optimization.in some of this codes I used full propagation algorithm or mlp one layer or two layer with different activation function.this code can be use for prediction or control system by useing neural networks.

VLSI design research papers that has been done 1980-2010

简单的数据降维算法（PCA）举例，构造随机的10维数据，降维成3维的。Sample可替换成用户数据(Examples of simple data reduction algorithms (PCA) are presented)

说明：  结合matlab强大的数据处理能力和蒙特卡洛方法的强大随机模拟功能，编写了一个小算例(Combining the powerful data processing ability of MATLAB and the powerful random simulation function of Monte Carlo method, a small calculation example is compiled)

basic segmentation

用于对全景镜头进行标定，能求解出图像上对应点的世界坐标的方向向量(The OcamCalib Toolbox for Matlab allows the user (also inexpert users) to calibrate any central omnidirectional camera, that is, any panoramic camera having a single effective viewpoint (see section 17). The Toolbox implements the procedure initially described in the paper(Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion", Proceedings of IEEE International Conference of Vision Systems (ICVS 06), New York, January 5-7, 2006.) and later extended in (Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Toolbox for Easy Calibrating Omnidirectional Cameras", Proceedings to IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing China, October 7-15, 2006. ). A detailed introduction to this model is in section 19 of this Tutorial. Furthermore, you can also see a demo of how the toolbox works here. The Toolbox permits the user to easily and quickly cal)