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用MATLAB编的图像模糊和复原的程序(Image made using MATLAB Fuzzy and recovery procedures)

Quadrotor Files Simulation

自己做的： （一）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅰ型低通数字滤波器，其采样频率Fs =8KHz，1DB通带边界频率为fp=2KHz。 （二）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅱ型高通数字滤波器，其采样频率Fs =16KHz，阻带边界频率为fst =4KHz(matlab gui)

说明：  跟踪浅颜色的汽车，用红色的矩形标注，用R2008B以上版本运行。(Track light colored car, with a red rectangle marked with R2008B or later to run.)

本程序计算局部窗口的累积直方图，可用于驱动水平集和纹理分割( in this test program, we calculate the cumulative histogram in a local window centered at each pixel,this local cumulative histogram can be used to drive the level set for image and texture segmentation. Author: Associate Prof. Yuanquan Wang, Affiliation: Tianjin Key Lab of Intelligent Computing and Novel Software Technology, School of Computer Science, Tianjin University of Technology, Tianjin 300191, China 01/20/2008 Reference: 1. Tony Chan, Selim Esedoglu, and Kangyu Ni, Histogram Based Segmentation Using Wasserstein Distances, SSVM 2007, LNCS 4485, pp. 697–708, 2007. 2. Kangyu Ni, Xavier Bresson, Tony Chan, Selim Esedog, Local Histogram based Segmentation using the Wasserstein Distance, at: www.math.lsa.umich.edu/~esedoglu/Papers_Preprints/chan_esedoglu_ni.pdf or at :ftp://ftp.math.ucla.edu/pub/camreport/cam08-47.pdf )

说明：  用于调用系统时间,并且显示出来，非常实用(Used to call the system time, and displayed a very practical)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

ARMA时间序列法预测模型，有示例数据及注释等(autoregression----moving average)

利用Matalb为工具，以粒子群算法来优化bp网络程序。 (Use Matalb as a tool to PSO to optimize the bp network program.)

LBP code has implemented here to extract texture pattern a gray scale image.