PQ

using wavelet in denoising ECG

异步电机仿真启动异步电机仿真制动调试异步电机仿真调速 (Simulation of induction motor to start induction motor simulation of braking induction motor simulation speed debugging)

matlab的steel金字塔小波分解源代码(matlab the steel pyramid wavelet decomposition source code)

Matlab人工免疫算法的利用,希望对大家有帮助(Matlab using artificial immune algorithm, we want to help)

是关于vblast接收中ML算法的简单的仿真(Receiving on ML algorithm vblast simple simulation)

最经典的matlab介绍微粒群算法的书，不好买的。(The most classic PSO algorithm matlab introduction of the book, not bought.)

改进的OFDM 子载波分配、功率分配 注水算法(Improved OFDM subcarrier allocation, power allocation, algorithm water)

说明：  the matlab code of Dehazing-Airlight-estimation-master

这是一个统计模块的C++小程序源代码，供大家学习参考用。(err)

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.)