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matlab在神经网络中的一些界面函数(Matlab in neural network interface function of)

说明：  只是 Torr 的3D 重建工具箱，里面有细致的MATLAB代码与PDF说明文档，很好用(Torr is the 3D reconstruction of the toolbox, which has detailed MATLAB code and PDF documentation, good use)

这是一个灰色预测方法的word文档，介绍了灰色预测的理论。(This word document is a gray prediction method, gray prediction theory.)

很标准的无味卡尔曼滤波，UKF的仿真与用法。描述了两个非线性方程x=0.5 x + (25 * x / (1 + x^2)) + 8 * cos(1.2*(t-1)) y = (x^2 / 20)的UKF的用法。简单实用，有备注。对于卡尔曼滤波初学者很有用。(Very standard unscented Kalman filter, UKF simulation and usage. Describes two nonlinear equations x = 0.5 x+ (25* x/(1+ x ^ 2))+ 8* cos (1.2* (t-1)) y = (x ^ 2/20) of UKF usage. Simple and practical notes. For the Kalman filter useful for beginners.)

M a t l a b 中读取视频avi文件的小程序(M atlab read avi video files applet)

基于MATLAB环境下各种常用的插值算法的代码 简单明了 便于初学者学习(Based on MATLAB environment variety of commonly used simple interpolation algorithm code easy for beginners to learn)

蒙特卡洛仿真的文档，对学习通信系统仿真由很大的帮助，请仔细阅读(Monte Carlo simulation of the document, to learn communication system simulation by the great help, please read carefully)

窄带信号基于最小估计长度和最大似然估计的信号数目及波达方向的联合估计(Narrowband signals based on the number of signal joint estimate minimum and maximum likelihood estimate of the length and direction of arrival estimation)

本文件为.m的格式，直接在matlab编译器中进行编译即可。 功能：用均匀圆阵MVDR方法进行宽带波束形成 目的：通过此程序展示均匀圆阵MVDR算法宽带波束形成图 关键词：MVDR，自适应，均匀圆阵(Circular Pattern in Matlab)

在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications)