Peng_Robinson_EOS

该程序是在matlab环境下gui界面编写的，集成了图像处理的基本功能。图像大小变换，加噪去噪、滤波、插值、截图、旋转角度等功能(The program in matlab environment prepared by the gui interface, integrated image processing functions. The size of the image transformation, adding noise denoising, filtering, interpolation, screenshots, rotation angle)

matlab程序设计的源代码，有利于初学者了解MATLAB的编程思想与方法，使初学者快速入门(Matlab programming source code, be helpful for beginners to learn matlab programming thought and method, make the beginner quick start)

小波包分析提取振动信号中的特征频率，语音信号的采集与处理，数字信号处理课设，已经调试成功.内含m文件，可直接运行。( Wavelet packet analysis to extract vibration signal characteristic frequency, Acquisition and Processing of the speech signal, digital signal processing class-based, Has been successful debugging. M contains files can be directly run.)

GSO算法及其改进，其中HGSO是通过与和声搜索算法结合而成，主要用于结构的截面优化、几何优化、动力优化、拓扑优化等，具有收敛速度快，收敛结果好的优点，且其改进算法能摆脱局部最优的缺陷。(GSO algorithm and its improvements, HGSO is through a combination of harmony search algorithm, mainly used to optimize the structure of the cross section, geometry optimization, dynamic optimization, topology optimization, a fast convergence, convergence results is good, and its improved algorithm defects can get rid of local optimum.)

基于带有环形谐振腔的马赫增德尔干涉仪实现全光比较处理(Comparison of all-optical processing based Mach Zehnder interferometer with a ring resonator)

遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，一些简单的MABTLAB遗传算法例子！(GA MATLB procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!)

大批量处理图像LSB隐写算法的matlab算法(Large batch image LSB steganography algorithm matlab algorithm)

sound recognition code matlab

粒子群优化算法，优化处理，matlab代码，学习必看(Particle swarm optimization, optimization of processing, matlab code, learning must-see)

本程序用于模拟复杂网络，并计算复杂网络平均路径长度、聚类系数、度分布，及其他特性分析，可为模拟探究复杂网络提供参考。(This procedure is used to simulate complex network, complex network and calculate the average path length, clustering coefficient, degree distribution, analysis, and other features, can provide reference for simulation to explore the complex networks. )