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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.)

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matlab 教学课件，全面介绍数字图像处理的相关内容(matlab courseware comprehensive introduction to digital image processing related content)

卡尔曼滤波器 matlab实现(Kalman filter matlab implementation)

multi - objective optimisation

Windows扫雷源代码.rar Windows扫雷源代码.rar(Windows mine the source code. Rar Windows mine the source code. Rar)

main executing reference usage: observeWaveletDecompositionBenchmark_N_levels.m The objective is to illustrate wavelet decomposition, and to describe how operations may be done in the wavelet domain before the reconstruction. The demo decouples the wavelet operations (transform, operation in wavelet domain, and reconstruction) from the plotting. A PSNR and MSE describes the possible distortion (however minimal) of the forward and inverse wavelet transform. * Caveat: The image display may be subjected to the selected target image. The objective is to provide a simple framework for the understanding of working with wavelets.

基于MATLAB的，求解线性方程组的雅可比迭代法和高斯-赛德尔迭代法的比较 (Than the iteration method and Gauss- Seidel iterative method based on MATLAB, solving linear equations of Jacques)

Matlab/Simulink建模与仿真实例精讲配套源程序(The source code of Matlab/Simulink )

v-blast瑞利信道下的仿真，很经典的一部教程书《Space-time codes and MIMO systems》里面第六章程序(v-blast simulation under Rayleigh channel, it is in a classic tutorial book “Space-time codes and MIMO systems” codes for Chapter VI)