CIC

matlab神经网络工具箱的实用指南，第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。(matlab neural network toolbox of the Practical Guide, chap neural network are the basic introduction, chapter II, including designated by the toolbox on the network structure and symbols of the basic materials, as well as neural network set up some basic functions, such as new, init, adapt and train. Chapter III in order to reverse the spread of the network as an example to explain the back-propagation networks, the basic principle and application process.)

杂波图在地基雷达中具有重要的位置，对零速目标的检测具有重要的意义，该程序仿真杂波图对雷达信号进行时间上的CFAR检测(Clutter map important position in the ground-based radar, the goal of zero speed detection is of great significance, the program simulation clutter map of the radar signal CFAR detection time)

西蒙赫金的《自适应滤波原理》一书的matlab程序，现在继续上传第16章的程序， 大家学习交流，觉得有用的自己下载，呵呵，上传完毕，没有修改过，原版(西蒙赫payment principle of adaptive filtering, one book matlab procedure, we shall now continue From Chapter 16 process, we learn, find useful to download their own, huh, huh, the upload has finished, has not been amended original)

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.)

Deal about important blob tracker

这里是matlab的ppt教程，希望对大家有所帮助(Ppt Here is the matlab tutorial, I hope all of you to help)

一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。(A comparison based on the threshold criteria for the particle to handle multi-objective constrained optimization problem, part of the guidelines can keep order value is small and the constraint violation in allowing infeasible solutions within the particles, so as to achieve a feasible solution to the infeasible solution The purpose of evolution a new function of crowding, making the Pareto front in the sparse region and near the border points have a greater value of the congestion function, which is the larger the probability of selection so as to constitute solve multi-objective constrained optimization problems hybrid particle swarm algorithm.)

说明：  简单的画折线功能，单击右键示图取消，按住control键重置起点。(The painting features a simple broken line, right-click Diagram canceled, hold down the control key to reset the starting point.)

冈萨雷斯数字图像处理matlab版源码DIPUM Toolbax V1.1.3，对冈萨雷斯书的很好的补充(Gonzalez Digital Image Processing matlab source code version of DIPUM Toolbax V1.1.3, a good book for Gonzales complement)

how impliment a disicion tree with matlab