PRP

绘制庞加莱截面图 在相空间中适当（要有利于观察系统的运动特征和变化，如截面不能与轨线相切，更不能包含轨线）选取一截面，在此截面上某一对共轭变量如x1和x.1取固定值，称此截面为Poincare截面，相空间的连续轨迹与Poincare截面的交点成为截点。(Poincare mapping sections in the phase space properly (should be beneficial to observe the system and changes in movement characteristics, such as the cross-section can not be tangent trajectory, but also can not contain rail line) to select a cross-section, in this section for a total of conjugate variables, such as x1 and X.1 take a fixed value, call this cross-section for the Poincare section, the phase space of the continuous trajectory of the point of intersection with the Poincare cross-section to become cut-off point.)

matlab chapter 2 codes

本程序可以实现具有较好相关性的ZC序列，其时频两域相关性很强(The program can achieve better correlation with the ZC sequence, time and frequency domain strong correlation)

本文所做的主要工作为：研究了JPEG2000标准的原理和基本框架，对JPEG 2000标准的核心—小波变换压缩技术进行了分析研究，概要的介绍了小波理论。对EZW算法进行了详细分析和描述，包括零树的含义、结构及其扫描方法。并应用Matlab图像处理工具箱和小波分析工具箱对图像小波变换处理，并通过接口工具Mex实现在Matlab环境下对C程序EZW编码的调用，实现了应用零树小波编码算法对图像的压缩处理，简单地实现了对JPEG 2000的仿真。(The main work that this text do is:Studied the principle and basic frames of the JPEG2000 standard, to the center of JPEG 2000- Wavelet transform compress which had been analyzed and researched .Carried on the detailed analysis and descriptions to the calculate way of EZW, include zero-tree coding, structures and it’s scans method. In Turbo C environment using C language to simulate wavelet zero-tree coding algorithm, using Matlab image processing toolbox and wavelet analysis toolbox, and using interface tool Mex to implement transferring the C program in Matlab, and implement the image compress by wavelet zero-tree transform coding methodology,and supplely implement JPEG2000.)

多目标检测，可用于视频监控，视觉目标跟踪，运动检测，及其它图像处理中的相关应用。(This code contains multiple object detection adaptable to visual surveillance, visual object tracking, motion estimation and other image processing applications.)

基于小波变换的数字水印嵌入的Matlab源代码及仿真(Based on Wavelet Transform Digital Watermarking of Matlab source code and simulation)

Matlab Filter Implementation In this section, we will implement (in matlab) the simplest lowpass filter $displaystyle y(n) = x(n) + x(n-1), n=1,2,ldots,N $ (from Eq.$ ,$(1.1)). For the simplest lowpass filter, we had two program listings: Fig.1.3 listed simplp for filtering one block of data, and Fig.1.4 listed a main program for testing simplp. In matlab, there is a built-in function called filter3.3 which will implement simplp as a special case. The syntax is y = filter (B, A, x) where x is the input signal (a vector of any length), y is the output signal (returned equal in length to x), A is a vector of filter feedback coefficients, and B is a vector of filter feedforward coefficients. The filter function performs the following iteration over the elements of x to implement any causal, finite-order, linear, time-invariant digital filter:3.4

This program is used for face recognition which uses color histogram method

MATLAB neural network 30 case studies _MATLAB Chinese Forum _2010_P286.pdf

说明：  一种用于实现变压器等故障分类的matlab代码(A matlab code for transformer fault classification)