Documents

Image Reconstruction

说明：  完整的curvelet变换(2.0)实现(complete curvelet transform (2.0) Implementation)

Greening femtocells in india

求解vdp1000的程序，很实用的一个程序！及时下载吧(Solving vdp1000 procedures, a very useful program! Time to download it)

基于matlab的三维边界元法。可以计算金属球，金属棒，金属圆环等结构的远场光散射和场分布。(Matlab-based three-dimensional boundary element method. You can calculate the metal balls, metal rods, metal ring structures such as the far-field light scattering and field distribution.)

说明：  最近编写了一个程序，现在跟大家一起分享一下，多多指正。 改变曲线色彩(change the colour of the curve)

说明：  基于MATLAB信号处理工具箱的数字滤波器设计与仿真(Based on the MATLAB signal processing toolbox of digital filter design and simulation)

the nearest_neighbor algorithm

一维小波包在matlab分解六层分解，与重构，可得高低频。与原高低频对比。( One dimensional wavelet packet decomposition in the MATLAB decomposition of the six layer, and the reconstruction can be HISTEP low frequency. Contrast with the original high and low frequency. )

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.)