xinxilun

dwt image watermarking

matlab/simulinkSfunctionC文件例子源码matlab/simulinkSfunctionC文件例子源码ghh(matlab/simulinkSfunctionC example source file matlab/simulinkSfunctionC example source file matlab/simulinkSfunctionC example source file bold)

Filtre Gaussien pour le traitement d image

基于PCA的iris数据集分类，matlab实现，大家共同学习。(Iris data set the PCA-based classification, the Matlab implementation, we learn together.)

混沌密码序列的平衡检验在解码和加密中的应用。混沌密码序列的平衡检验在解码和加密中的应用(chaos logsitic)

A tiny app that controls a puppet with a wiimote controller. Uses the wiimotelib and a serial port to communicate the arduino board. The code for the arduino board is in other file.

for sharping your blur image

Algorithm of fuzzy edges detection in images. In this case triangular relation of similarity is used. Also two cases of neighborhood are use.

车间调度用该程序模拟，这是软件在实际问题中的应用体现，展示了软件的广泛应用性 (Shop scheduling simulation with the program, which is the software application in practical problems in the embodiment, showing the extensive application of the software)

This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own. I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them. (This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.)