Radar-signal-simulation

说明：  产生各种吸引子的简单程序，并附有简单文字材料说明。(These script generates attractor using histogram technique. these script can generate 50 quadratic attractor 5 Peter De Jong (including the ring) 4 Clifford attractor)

基于维纳滤波的语音增强matlab程序，内含VAD，滤波效果良好，推荐！(weiner filter including vad,based on matlab )

codigo golden programa

元胞自动机模拟交通状况，可以进行超车，可模拟堵车(Cellular automata simulation traffic conditions, overtaking can be simulated traffic jam)

Technical Area pattern classification

对网格进行平滑，利用汉宁窗对海底地形进行平滑。直接输入函数即可。(Smoothing of the grid, the use of Hanning smoothing of the submarine topography. Can be directly input function.)

迭代最近点算法的一个简单实现，并使用了两个二维点集进行测试(an implementation and validation for the data association of two 2d point sets based on iterative closest points)

利用matlab计算三维光子晶体带隙的fdtd算法(calculated using Matlab 3D photonic bandgap of the algorithm fdtd)

这个zip文件中包含的原则和双方的扩展卡尔曼滤波（EKF）和全球定位系统（GPS）算法简要说明。它的主要目的是提供一个相对容易实现的扩展卡尔曼滤波，在我们使用的输入函数的形式，而不是禁止函数处理符号表达式。它也可作为一个简要介绍了卡尔曼滤波算法GPS和学习它的意思。在为EKF的例子，我们提供的原始资料，同时使用的定位扩展卡尔曼滤波和最小二乘法的任务和解决方案。 有四个M文件和两个数据文件。 Extended_KF.m包含EKF的函数体。另一些功能和GPS的示例数据文件。(This zip file contains a brief illustration of principles and algorithms of both the Extended Kalman Filtering (EKF) and the Global Position System (GPS). It is designed primarily to provide a relatively easy-to-implement EKF, in which we use symbol expressions as the form of input functions rather than the forbidding function handles. It also serves as a brief introduction to the Kalman Filtering algorithms for GPS and a mean of learning it. In the example for the EKF, we provide the raw data and solution for the positioning task using both EKF and the Least Square method. There are four m files and two data files. Extended_KF.m contains the function body of the EKF. Others are functions and data files for the GPS example.)

核密度估计的源码，kernel density estimation，从官方渠道获得(Source kernel density estimation, kernel density estimation)