PSOexample

说明：  14节点潮流程序设计基于matlab能很好收敛，扩展性强(Current program design is based on 14 nodes can be very good convergence matlab, expandability)

列文森-杜宾算法，用于语音的线性预测控制中，也可以用于谱包络。(Levenson-Durbin algorithm for voice linear predictive control, but also can be used for spectral envelope.)

This is the collection of matlab files for recognition purposes.

【matlab编程代做】matlab从图像中检测人脸部分 可以作为参考使用学习 ([Do] matlab matlab programming generation face detection the image section can be used as a reference study)

单频信号作为探测信号的匹配滤波处理程序源码 包括信号产生并验证通过(Single frequency signal as a detection signal matched filtering processes, including signal generating source and verified by)

说明：   MATLAB的NSGA改进后的算法(MATLAB' s NSGA improved algorithm)

calculates leakage of a transformer

Adaptive Wavelet Thresholding for Image Denoising and Compression.pdf

包含三个源码分别是单脉冲测角的仿真，基于MMSE准则的自适应旁瓣对消，平面阵的三维天线方向图计算。(The simulation consists of three single-pulse source are angle measurement based on MMSE criterion adaptive sidelobe cancellation of the three-dimensional antenna, planar array of chart calculations.)

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.)