shuangxianxin

dijkstra /shorest route

数据融合的问题，比较详细，完整，看那一系列文档(Data integration issues, more detailed, complete, look at a series of documents)

随机固定求和函数，里面附有具体的应用讲解，可参考。(Random fixed sum function, which accompanied the application of specific explanations, can be found.)

目标因子分析,用于找主因子数，由例子能清晰明了的理解(Target factor analysis, the number of factors used to find the Lord, by the example of clarity of understanding can)

Chaotic maps. Matlab simulation.

各个函数的功能分别为求已知数据点的Lauguage,Akten,Newton,Gauss函数的插值多项式。(The function of each functional is how to caltulate the known numbers Lauguage,Akten,Newton,Gauss interpolation polynomials.)

对二维图片进行中心放大，能控制放大的倍数，采用最近邻法(enlarge pictures from the center of it，can control the index for enlargement)

MUSIC算法源程序,阵列信号处理DOA估计子空间MUSIC算法谱峰搜索程序(MUSIC for DOA estimation)

说明：  对高速运动目标采用基于kalman filter进行预测。基于matlab的实现，来进行运动目标的轨迹预测。有卡尔曼算法，扩展卡尔曼滤波，数据拟合方法。(The high-speed moving target is predicted based on Kalman filter. Based on the realization of MATLAB, the trajectory prediction of moving objects is carried out. There are Kalman algorithm, extended Kalman filter, data fitting methods.)

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.)