LLE-matlab

in this folder contains the Extract the files and to add the SIFT features.

基于遗传算法优化初始神经网络参数的BP神经网络模型，用于解决分类问题(Neural Network Model Based on Genetic Algorithms)

这是一个基于MATLAB编写的BUTTERWORTH滤波器的程序.其中从s域到z域的变换是自己编写的,代替了MATLAB中的系统BUTTERWORTH的系统函数(对于毕业设计的学生,比较有用!!)(based on MATLAB BUTTERWORTH prepared by the filter process. From which z's domain to the domain transform their own preparation, instead of MATLAB system BUTTERWORTH system function (for graduate design students more useful! !))

可以得到很精确的幅值、频率、相位估计，数据模型归一化，模态振动，matlab小波分析程序，快速扩展随机生成树算法，时间序列数据分析中的梅林变换工具，分析了该信号的时域、频域、倒谱，循环谱等。

《MATLAB统计分析与《MATLAB统计分析与应用：40个案例分析》源程序 数据.part3应用：40个案例分析》源程序 数据.part3《MATLAB统计分析与应用：40个案例分析》源程序 数据.part3

这篇文章说明了如何在Matlab环境下利用FDA 工具包来进行IIR滤波器的设计(脮芒脝 陋 脦脛脮脗脣渭脙 梅 脕脣脠莽 潞 脦脭脷Matlab 禄戮 鲁 脧脗脌没脫脙FDA 鹿 陇 戮 脽 掳 眉脌 )

包括遗传算法的原理介绍，及如何用matlab实现(genetic algorithm，matlab)

haze removal (cvpr09) matlab with face beautifulcation algorithmn

matlab进行拓扑排序的程序，在matlab中实现了拓扑排序算法。(matlab for topological sort of the process is implemented in matlab a topological sorting algorithm.)

这是一个模拟第3类模式地震波的matlab脚本。 This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium. The problem is formulated as a boundary integral equation and the elastodynamic kernels are analytically derived in the spectral domain (spatial wavenumber). The method is explained e.g. by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc. (This is a Class 3 model simulation of seismic waves of matlab scripts. This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium.The problem is formulated as a boundary integral equationand the elastodynamic kernels are analytically derived inthe spectral domain (spatial wavenumber). The method is explained eg by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc.)