Pattern-Recognition

PCA主元分析的matlab源代码，比较简单(PCA principal component analysis of the matlab source code is relatively simple)

说明：  心电图基本知识介绍，发明历史，目前应用和重要技术，是医学和电子医疗从业者的入门知识(Introduction of basic knowledge of ECG, invention history, current applications and important technology, medicine and electronic medical practitioners introductory knowledge)

船舶参数横摇,参数横摇的3自由度模型，包括垂荡和纵摇作用(Parametric Rolling of ships, the 3 degree of freedom model of parametric rolling, including heave and pitch function )

IMAQPLOT is a simple demonstration of previewing video data using the toolbox s TimerFcn callback. IMAQPLOT also allows users to integrate the video preview into any MATLAB GUI. These are capabilities that are present in the toolbox s PREVIEW command, but are presented here as a demonstration of TimerFcn callback. Using toolbox callback properties, you can configure a video input object to generate a live image plot display. Do you want a basic preview window created for you? Simply call: obj = videoinput( matrox , 1) obj.TimerFcn = @imaqplot obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj) Do you want to add a preview window to an existing GUI? Simply provide IMAQPLOT a handle to an image object and it will update it for you: obj = videoinput( dt , 1) obj.TimerFcn = {@imaqplot, hImage} obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj)

关于神经网络BP的一个例子，可以下来看看 适合初学者(BP neural network on an example, you can look down for beginners)

说明：  describe the file once again

有关非线性滤波程序的说明文档，包括KF,EKF,UKF,GHF等各种方法(The documentation demonstrates the use of software as well as state-space estimation with Kalman filters in general. The purpose is not to give a complete guide to the subject, but to discuss the implementation and properties of Kalman filters. )

实现了DQPSK下用Gardner算法实现位同步，并对信噪比、余弦滚降因子的影响加以讨论(achieve symbol synchronous by Gardner in the condition of DQPSK)

这是一个kernel lpp流行学习算法（Kernel Locality Preserving Projections），(Kernel Locality Preserving Projections for manifold usingmatlab)

用平均值法对图片序列经行背景建模，并保存。(Method of image sequences with the average background modeling by the line and save. （Attached picture) )