emdtu

Ce fichier mdl permet de tracer la caractéristique pv

可以从一幅含有头和肩部的图像中检测出人脸，并用矩形框框起来，将矩形框中的人脸裁剪出来并另存为80*80的图片(Can be detected an image containing a head and shoulders of a person' s face, and the frame up with a rectangle, the human face of the rectangular box to cut out and save it as 80* 80 pictures)

对涡街信号的处理模型 ，显示涡街信号的模型，对后续涡街信号处理有很大帮组(votexmodel)

matlab在数字信号处理中的应用（第2版）课件(matlab in Digital Signal Processing (2nd edition) Courseware)

说明：  matlab 最近邻算法及文献，随时欢迎下载(matlab nearest-neighbor algorithm and literature, feel free to download)

ga算法 优化PID参数 功能简单实用 很好很强大(genetic agoration)

雷达信号的基本模型，高斯分布，几何分布，求信号的概率分布，概率密度函数，功率谱函数，自相关函数等等(The basic model of the radar signal, Gaussian distribution, geometric distribution, the probability distribution for the signal, probability density function, power spectrum, the autocorrelation function, and so)

thanx u gav me a nice option to upload and take models

说明：  spwvd算法的程序代码，非常实用 在毕设中需要用到跳频信号的应该都能用到该代码(Smooth pseudo Wigner distribution)

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.