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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.)

MATLAB的SVM算法实现，Matlab Support Vector Machine Toolbox，This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.(MATLAB-SVM algorithm, Matlab Support Vector Machine Toolbox, This toolbox was designed as a teaching aid, which matlab isparticularly good for since source code is relatively legible andsimple to modify. However, it is still reasonably fast if usedwith the supplied optimiser. However , if you really want to speedthings up you should consider compiling the matrix compositionroutine for H into a mex function. Then again if you really wantto speed things up you probably shouldn t be using matlabanyway ... Get hold of a dedicated C program once you understandthe algorithm.)

一本matlab学习书籍，包括入门到精通，还有simulink等，北航出版。(A matlab learning books, including entry to the master, as well as simulink, etc., Northern Publishing.)

说明：  决定性系统中，这个脚本演示计算的观测系统状态的观测为X0输入和一个输出输入有限时间t1.这个脚本的输入是单位阶跃函数( This script demonstrates computing the state x0 of an observable system based on observing input and output for a finite time t1.The input is a unit step function for this script)

Kalman滤波开发包（matlab版）包括很多编得很好得函数，工具，功能非常强大，希望对研究得朋友有帮助(Kalman filtering Development Kit (Matlab version) including many of being good in function, tools, very powerful, and I hope to study in friends to help)

功率控制在CDMA移动通信系统中的作用 (The role of power control in a CDMA mobile communication system)

基于标准遗传算法的图像分割，运用遗传算法确定阈值。是matlab源码。(Standard genetic algorithm-based image segmentation, the use of genetic algorithms to determine the threshold. Matlab source code.)

kalman滤波程序，里面包含kalman的讲解及程序实现，对初学者比较有帮助。(a program of kalman )

一种适用于无线Mesh骨干网络的负载均衡路由算法(One for Wireless Mesh backbone network load balancing routing algorithm)

In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role. The installation of DGs directly affects the power requested or purchased. The sizing and placement of DGs in the system must be optimal because a wrong choice has a negative impact on the system behavior. To solve this combinatorial problem, an algorithm known as Firefly algorithm is proposed in this paper. This is a meta-heuristic algorithm inspired by the behavior of fireflies flashing. The main objective of firefly flash is to act as a signaling system to attract other fireflies. Networks tested IEEE69-bus and IEEE33-bus are used to evaluate the effectiveness of this method. The results are compared with those obtained by genetic algorithm (GA) to IEEE69-bus, and Shuffled frog leaping algorithm (SFLA) for IEEE 33-bus.