car_sim

通过多尺度小波变换获取图像边缘的软件包，可以用来分割图像(Through a multi-scale wavelet transform to obtain the image edge of the package)

说明：  囚犯问题，100个囚犯如何获得释放的matlab仿真程序源代码(Prisoners, 100 prisoners were released on how the matlab simulation program source code)

matlab例程 单色光的双缝干涉.rar(Matlab routines monochromatic light of the double slit interference. Rar)

正交信号校正法主要用于近红外光谱矩阵的预处理。其原理是将光谱阵与全氮含量阵正交,滤除光谱与因变量Y阵无关的信号,再建立定量校正模型,达到简化模型及提高模型预测能力的目的。(Orthogonal Signal Correction(OSC) removes variance in the X-block which is orthogonal to the Y-block. Such variance is identified as some number of factors (described as components) of the X-block which have been made orthogonal to the Y-block. When applying this preprocessing to new data, the same directions are removed from the new data prior to applying the model.)

This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.

performance analysis of ieee 802.11b is done in this program. Analytical model used is based on the paper performance analysis of dcf by guisseppe bianchi

非线性滤波的程序，里面包含扩展卡尔曼滤波和无迹卡尔曼滤波滤波，可应用于很多非线性系统(Nonlinear filtering process, which includes extended Kalman filter and unscented Kalman filter filtering can be applied to many nonlinear system)

说明：  Matlab implementation of D2D

关于Matlab PACE workshop 的详细介绍资料，可以供大家参考(Matlab PACE Workshop of presentation materials for your reference)

PID学习的好资料，功能详尽，值得大家去好好学习研究(PID learning good information, features detailed study worth to learn)