shiyanyong_highstep_upconverter

matlab用于分析图像去噪处理，含有多种算法的比较分析，还是比较全面的，适合用做期末论文(for the analysis of image denoising matlab is quite comprehensive, comparative analysis, containing a variety of algorithms, suitable for use as the final paper)

CFAR的matlab实现，效果十分好，不信请试试(CFAR' s matlab achieve)

LTE标准下，当要进行Turbo编码的数据长度大于6100，先进行分块，分块后再一块一块进行编码(LTE standard, when the Turbo coded data to be longer than the 6100, first block, block encoded and then a piece of)

本文针对SLAM算法中数据关联过程，提出了一种简单易行的改进方法，将欧氏距离与马氏距离结合用于数据关联。算法不必计算地图所有特征与所有量测之间的马氏距离，而是首先利用相对简单的欧氏距离计算缩小了待关联特征的搜寻范围。利用人工合成数据的仿真结果表明，改进后的数据关联方法可以大幅减少系统计算量，提高关联效率，且不会造成错误关联的增加。(This article SLAM algorithm for data association process, a simple method to Euclidean distance combined with the Mahalanobis distance for data association. Algorithms do not have to calculate all the characteristics of the map with all measurements between the Mahalanobis distance, but the first to use a relatively simple calculation of Euclidean distance to be associated characteristics of narrowing the search. The use of synthetic data simulation results show that the improved methods of data association can significantly reduce the system to calculate the volume and improve the efficiency of association, and will not lead to errors associated with an increase.)

说明：  matlab在图像处理中的重要代码！很详细的过程(matlab important in image processing code!)

经典频偏估计算法分析研究中M&M算法的仿真实例(Classic analysis of the frequency offset estimation algorithm M & M algorithm simulation)

说明：  元胞自动机为使人员疏散离散模型更好描述行人微观特性，提出一种改进元胞自动机的人员疏散模型。(In order to make the discrete model of evacuation better describe the micro-characteristics of pedestrians, a new evacuation model based on improved cellular automata is proposed.)

四分之一汽车simulink模型,可用于仿真或控制系统开发(Fourth car simulink model can be used for simulation or control system development)

matlab参数录入系统，实现参数录入，错误提示。(matlab parameter entry system)

张正友的关于相机标定的经典文章 提出了张正友标定法 可供初学者学习(Zhang Zhengyou' s classic article on the camera calibration proposed calibration method for beginners to learn Zhang Zhengyou)