guoduquxian3

这是一个实现Levenberg-Marquardt算法的MATlAB代码，总共4个文件f.m产生目标评价函数，l_m_trust.m是进行L_M算法迭代处理，trtestlm.m是采用置信域方法决定更新参数和置信系数，而测试函数入口时test_lm.m，每个函数里面有详细的中文注释，希望能给你的工作带来帮助！(This is an implementation of Levenberg-Marquardt algorithm MATlAB code, generated a total of four documents fm objective evaluation function, l_m_trust.m is iterative processing algorithm for L_M, trtestlm.m Confidence region method is used decided to update the parameters and confidence coefficient and the test function entrance test_lm.m)

对高斯信道下的MATLAB仿真，还有锐利信道，还有些误码曲线，信噪比的统计(Gaussian Channels MATLAB simulation, there are sharp channel, and some error curve, the statistical signal to noise ratio)

commande vectorielle de la machine asynchrone

tracking using kalman

说明：  ：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数 据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一 邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空 间属性，同时又可以加快聚类的速度。(: DBSCAN is a density-based clustering algorithm. The algorithm has a sufficiently high density area is divided into clusters, and to be with the &quot noise&quot found in the spatial database clusters of arbitrary shape. But DtLqCAN algorithm did not consider non-spatial attributes, and spatial database DBSCAN algorithm to be scanned for each point e in the neighborhood to find a cluster, DBSCAN algorithm which makes the application subject to certain limitations. In this paper, an algorithm based on DBSCAN can handle the non-spatial attributes, can also speed up the clustering speed.)

System CBIR in Matlab

semivario structure funvtion,there is no need other steps

扩频通信中PN码同步仿真实验，中间无任何错误，可直接使用(can use)

时间域建模，matlab提供了三种时间域建模函数，在这个压缩包里面分别叙述。(Time domain modeling, matlab provides three time-domain modeling functions, in this compressed packet which are described separately.)

说明：  MPSK信号基于高阶循环谱估计载波频率matlab的代码(MPSK signals based on higher-order cycle of the carrier frequency spectrum estimation matlab code)