yibushiliang

本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同(In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using the characteristics of the estimated location and the location of vector prediction Euclidean distance between the calculation instead of all the characteristics of each measurement between the Mahalanobis distance calculation, to avoid a large number of matrix multiplication calculation. The algorithm is simple, the algorithm to reduce computational complexity and is conducive to the implementation of real-time SLAM algorithm, and the effects associated with the same overall nearest neighbor method)

梁元进行有限元分析时可利用的函数，很不错，有一定价值(Beam element for finite element analysis of available functions, very good, there is some value)

matlab图像处理示例详解，杨丹，赵海滨等，书中的源程序(Detailed matlab image processing example, Dan Yang, Zhao Haibin, etc., in the book of the source)

Metodo Runge Kutta per risolvere ODE

zero crossing rate for detecting zero crossing instants

root music 算法估计精度更加优秀(root music The estimation accuracy of the algorithm is better)

CDMA multi-user communication

说明：  MATLAB编程进行频谱分析研究,考虑各种情况的结果和图形分析(MATLAB programming spectrum analysis, considering all the circumstances and graphical analysis of the results)

比较好的蚁群算法MATLAB代码,作为学习人工智能算法是比较好的例子(Good ant colony algorithm based on MATLAB code as a learning algorithm is a good example of artificial intelligence)

总体X服从非中心卡方分布，求两个参数的极大似然估计 输入：样本数据 输出：参数估计值n，v 内有详细说明(Overall X obey non-central chi-square distribution, find the two parameters MLE)