mcopla

基于matlab的遗传算法的仿真，能够求出最优解。(matlab inherit)

matlab信号仿真，包括基本信号的产生，时域抽样和频域抽样等仿真说明(MATLAB signal simulation, including the basic signal generation, the time domain sampling and frequency domain sampling simulation)

特征提取算法（pca),用于数据的特征提取。(feature extraction)

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.)

提供求信息熵的代码，很好的东西，值得收藏。(The code for the information entropy, the good stuff, it is worth collecting. )

Code for plotting bessel functions

LES算法。包含梯度下降法优化算法，并且以图示每一步迭代权值如何更新。(LES algorithms. Contains gradient descent optimization algorithm, and with each iteration illustrates how to update the weights.)

一种自适应的均值滤波代码，加入了自适应的阈值T(An adaptive mean filtering code, adding the adaptive threshold T)

自适应控制的方法估计动力系统参数，把待估参数作为一个状态变量来处理(parameter estimator adaptive control)

这是Simulink关于FFT显示的模型。希望对初学者有用。(This is the Simulink model of FFT display. Hope useful for beginners. )