dsp-1

压缩感知的仿真程序，此程序使用OMP算法，实现对一维输入信号的重构(This package includes 2 folders. Folder mp contains mp algorithmn and Folder omp contains omp algorithmn 。)

把微分方程的一维经典初值问题的有限插分法：Euler法、改进的Euler法、Admas二步外插法、Admas二步内插法编写成通用子程序，并且利用这些通用子程序解决常微分方程的数值解。(The classical one-dimensional differential equations initial value problem of limited interpolation method: Euler method, improved Euler method, Admas outside the two-step interpolation, Admas two-step interpolation method into a general-purpose subroutine to prepare and use it to solve common subroutines Numerical Solution of Ordinary Differential Equations.)

包含了一个蚁群算法里面的蚁密系统，程序运行良好(Contains an ant colony algorithm inside the secret system to run well)

Digital communication techniq

第二版(刘金锟)先进PID控制及其MATLAB仿真书和代码有书签(Second Edition (Liu Kun) advanced PID control and MATLAB code books and bookmarked)

this book is for working in the subject signal and system by using matlab.

对人行走时的微动特性进行了分析，采用时频分析技术展示了人行走的微多普勒效应，与国外相应分析文章结论一致。(Fretting characteristics of people walking were analyzed, using frequency analysis when the micro-Doppler effect shows people walking, consistent with the analysis of the article corresponding foreign conclusions)

蒙特卡罗ROC曲线的绘制，包括检测概率，虚警概率等(Monte Carlo ROC curve drawing, including detection probability, false alarm probability and so on)

中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。 MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.(Center drift is a non-supervised clustering algorithm (k-means algorithm with the similar, but more a wider range of applications), can be used for image segmentation, based on the realization of the source Matlab. MedoidShift is a unsupervised clustering algorithm (similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.)

一个很有用的EM算法程序包，可用于混合高斯模型，值得一看哦(A useful package of the EM algorithm can be used in mixed-Gaussian model, see Oh)