基于元胞自动机的交通系统建模与模拟 Transportation-ellular

Matlab实现的Contourlet变换的M文件代码(Matlab implementation of the M-file code Contourlet transform)

这是一个数字调治解调器，非常经典的。经过本人仿真可以实现(This is a digital modulation modems, very classic. After I simulation can be achieved)

Frame interpolation, frame rate up-conversion (FRUC), motion estimation, motion-compensated frame interpolation (MCFI), motion-compensated temporal frame interpolation (MCTFI), predictive search, true-motion, video processing

Compensator by the method of frequency response using Bode

code of Numerical Computing with MATLAB book

与模糊数学相关的,模糊聚类分析的有效性问题初探,FCM算法是论文中不可或缺的部分,在此将FCM算法的两种迭代形式的MATLAB代码写于下,也许有的同学会用得着:(Fuzzy clustering analysis and fuzzy validity problems of the mathematically related, FCM algorithm is an integral part of the paper, in the form of the FCM two iterative algorithm MATLAB code written in the next, and perhaps some students will use have a:)

简介：IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。 文件清单： IFP_FCM算法原始论文： Improved fuzzy partitions for fuzzy regression models.pdf 程序清单： IFP_FCM.m - IFP_FCM算法主函数 initifp_fcm.m - initifp_fcm子函数 stepifp_fcm.m - stepifp_fcm子函数 distifp_fcm.m - distifp_fcm子函数 IFP_FCM_T_S_box_test.m - IFP_FCM测试实例：Box和Jenkins煤气炉数据T-S模糊模型辨识 数据文件： box_data.mat - Box和Jenkins煤气炉数据(IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.)

一个简单算法能够生成数独矩阵，很容易理解的matlab小程序。(A simple algorithm to generate Sudoku matrix, it is easy to understand the matlab applet.)

matlab code for speech recognition of single utterances

实现Gabor滤波的源代码，包括C++、matlab源程序，还有介绍其原理的word文件(Gabor filter realization of the source code, including C++, matlab source, as well as introduce the principle of word document)