FIRqq

粒子群优化反演的matlab程序，在matlab2012上可以执行。(Particle swarm optimization inversion matlab program, in matlab2012 can be executed.)

在白噪声环境下激振结构，得到结构物的响应，通过输入和输出的信号数组，得到结构该点在该方向上的频率和阻尼及振型系数 。本人用它处理振动台试验数据。(Under the white noise environment, the structure of the excited vibration is obtained by the input and output of the signal array. I use it to deal with the vibration table test data.)

一个简单的LMS算法小程序，在自适应预失真中会用到！！！(LMS algorithm is a simple small program, the adaptive pre-distortion will be used! ! !)

说明：  本程序是数制转换问题，为十进制数字和罗马数值间的相互转化，本程序用的是函数调用法(This program is the number of system conversion problems, in order to decimal numbers and value of the inter-conversion of Rome, this program using a function call method)

the BER for BPSK in OFDM modulation in the presence of Rayeligh fading channel simulation in matlab programme

基于matlab的边缘检测，方法种类很多，如，sobel,canny,prewitt等等(Edge detection methods,such as,soble,canny,prewitt,and so on.)

此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)

Numerical Simulation of Cavity problem with SIMPLE method

计算光子晶体的能带投影图，为波导模的确定以及光子晶体薄板提供基础(calculated photonic crystals with projection to determine the mode waveguides and photonic crystal to provide the basic sheet)

基于FFT的自相关函数快速计算方法估计出自相关函数(Fast calculation method based on the FFT of the autocorrelation function is estimated from the correlation function)