grady2004faster_code.tar

for gps tracking acquision satellite position and velocity finding

非常不错的小波程序(very good wavelet procedures!)

The program purikura.m frames your images into a beautiful frame. Convert your boring looking images into decorated ones using it. Automatically adjusts the bordering i.e. framing according to the image s dimensions. Save the decorated images.(The program purikura.m frames your images into a beautiful frame. Convert your boring loo king images into decorated ones using it. Autom atically adjusts the bordering i.e. framing ac cording to the image's dimensions. Save the deco rated images.)

使用GP来计算延迟时间和嵌入维数.经个人验证(Use GP to calculate the time delay and embedding dimension)

说明：  某班准备从5名游泳队员中选择4人组成接力队，参加学校的4×100m混合游泳接力比赛。 5名队员4种泳姿的百米平均成绩如下表，问应如何选拔队员组成接力队？(Classes to prepare a swim team from the five-member Select 4 relay team, participated in the School of the 4 × 100m relay swimming race mixing. Five members of the four kinds of strokes average 100 meters in the following table and asked how the composition of the selection of relay team members?)

高阶谱分析工具箱，有常见的参数模模型高阶谱估计，DOA估计与时延估计 (Higher order spectral analysis toolbox, common parameter-mode model of higher order spectral estimation of DOA estimation and delay estimation)

Ardtool是Matlab的图形用户界面，用于分析天线阵列的不同类型。认识的天线辐射模式的程序，以及天线的类型分类编程(Ardtool is a Matlab graphical user interface for the analysis of the different types of antenna arrays. Understanding antenna radiation pattern procedures, and antenna type classification program)

适合于初学者接触声呐信号处理，有简单的波束形成例程，包括时域和频域，以及相关法求时延等(Suitable for contact beginners sonar signal processing, there is a simple beam forming routines, including the time and frequency domains, as well as related laws and delay request)

永磁同步电机模糊PID控制。含对比的PI控制的模型。实现了模糊控制算法，可以得到比单纯的PID更好的控制效果.(Fuzzy PID control of permanent magnet synchronous motor. Model PI-containing contrast control. Realization of fuzzy control algorithm can be better than a simple PID control.)

说明：  matlab编写的训练som自组织特征映射神经网络的源代码。(Matlab prepared by the training som self-organizing feature map neural network source.)