Contents

本程序用于控制系统计算超调和响应时间源程序(This procedure is used to control overshoot and response time calculated by the system source code)

在matlab中 提取mfcc特征的源代码(In matlab to extract MFCC features of the source code)

自适应遗传算法源程序，比较不错的。 具有很大的参考价值(adaptive genetic algorithm source code, the quite good. Great reference value)

该文件是空间矢量调制的整流级。采用m文件编程。输出直流波形符合理论推导，比较理想。(This file is space vector modulation of the rectifier stage. The m file programming. Output dc waveform conform to the theoretical derivation, more ideal. )

知识进化多目标领域的一篇经典之作，已被同行广泛认同，相信给大家的学习和研究会带来帮组，欢迎下载！(Knowledge of a field of multi-objective evolutionary classic, has been widely recognized by his peers, I believe for everyone to learn and research will bring help group, welcome to download!)

windows版本—voc-release1（deformable part model），原来版本是linux版本的，但是大部分习惯用windows的，所以我讲linux版本改成了windows的，下下来在windows环境下直接可以运行(voc-release1，deformable part model (run in windows environment）)

kalman滤波的MATLABdemo，适合MATLAB初学者学习(matlab kalman)

fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples.fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s with parameter: s format:result = fit_rayleigh_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted output: result - structure with the fields s - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

用matlab结合窗函数法、等波纹设计法实现FIR滤波器(Combined with matlab window function method, such as corrugated FIR filter design method)

借助于MATLAB GUI模拟甚高频ACARS系统的下行数据链(The downlink data chain of the high frequency ACARS system is simulated with GUI MATLAB.)