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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.)

先进PID控制中的积分分离PID算法源程序(Advanced PID control integral separate PID algorithm source code)

根据输入的电路矩阵表示形式，形成节点导纳矩阵，形成因子表的过程可以看做是规格化运算和消去运算的重复过程，重复的次数和非基准点的节点个数相同。 每个过程中进行的操作都相同，首先，存储规格化因子及消去因子；其次，对本行进行规格化运算，并将其值存储在因子表中；然后，对其后的每行进行消去运算；如此循环n次得到因子表。(Representation of the input of the circuit matrix, forming a node admittance matrix formation process can be seen as a factor table normalization process operations and eliminate duplicate operations, the same number of nodes and the number of repetitions of non-reference point. Each operation carried out during the same, first of all, storage and elimination factor normalization factor secondly, the Bank normalized operations, and its value is stored in the factor table then, each row will be erased after their operation so the cycle n times to get factor table.)

描述了QPSK的判决反馈均衡，用matlab实现了QPSK的实现，实现了DFE( Describes a QPSK decision feedback equalization using matlab realize the QPSK implementation to achieve the DFE)

本文档主要实现ccsk编码和解码功能，主要实用于数据通信中(This document is intended to achieve ccsk encoding and decoding functions, mainly useful in data communications)

基于角谱法衍射理论的近场菲涅尔衍射的模拟(Fresnel diffraction stimulation based on angular spectral method)

Matlab的经典教程，针对初学者，简单易懂，基本内容非常完备，有课后例题和答案(Matlab of course, for beginners, simple and understandable. the basic content is complete, are example of the problem and answers after class )

可直接运行的matlab代码，Asift算法，比SIFT找到的特征点多很多。(Can be directly run matlab code, Asift algorithm, more than SIFT to find the feature points.)

matlab CVSD算法,请大家参考(matlab CVSD， hope it can help u guys)

Hausdorff dimension matlab code