guang

CNAV-2导航电文中L1C信号的编解码程序(CNAV-2 navigation data in the L1C signal encoding and decoding procedures)

华盛顿大学机器人课程的教学作业，是学习Kalman滤波和粒子滤波很好的仿真平台。稍加改动可以将该平台作为SLAM学习，多目标跟踪等问题的实验平台。深入学习可以得到更多回报，具体算法的实现可以参考本站内的EKF-SLAM和Fast-SLAM(You are to write a particle filter and a Kalman filter for robot localization. The script generates motion information according to the odometry-based motion model. Observations are landmark detections. Each landmark has a unique ID. )

matlab常用代码,包括常用的图像图形处理。详细请下载查阅。(commonly matlab code, including commonly used in image and graphics processing. For details, please download the inspection.)

基于非线性动力系统的无迹卡尔曼滤波matlab程序(onlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field)

the self organisation map clustering

本文针对运动目标的检测和跟踪这一研究课题，深入研究了两种非常重要的检测和跟踪技术-光流技术和帧差法的检测技术，在运动目标检测和跟踪中的应用中，对光流法和帧差法的优缺点进行了实验分析，文中所描述的这两种检测和跟踪技术和方法都通过仿真实验进行了验证。(Detection and tracking of moving targets, the author of this paper the research topic, further study of the two very important detection and tracking technology of frame differential method - optical flow technology and testing technology, application in moving target detection and tracking of optical flow method and the advantages and disadvantages of frame differential method has carried on the experimental analysis, this paper describes these two kinds of detection and tracking technology and method is verified by simulation experiments.)

通过学习CRC编码原理，本部分建立了SIMULINk模型，实现了CRC编译码。(in this part we build the simulink modol of the encoded and decoded of CRC.we can more understand the code)

介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。(Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), principal component regression (RPCR), partial least squares (RSIMPLS) and classification (RDA). Only a few of these methods will be highlighted in this paper. The toolbox also provides many graphical tools to detect and classify the outliers. The use of these features will be explained and demonstrated through the analysis of some real data sets.)

将一个给的的图像进行8X8分割后打乱顺序随机排列组合后进行图像拼接还原的MATLAB程序(MATLAB image stitching program to restore the image back to the conduct of a 8X8 divided randomly shuffled permutations)

The source code used here is useful for evaluating the degree of the bspline