hybridfun1

基于零速校正的行人定位代码，本人自己编写，有数据，运行通过，精度较高，可参考。(it s good)

随机产生信息码求误码率 信息码长度（帧长64bit） 息码速率为10KHz（100us） 发送带宽20KHz（信息码速率的2倍） 发送信号功率2W 载波频率70MHz 采样频率280MHz（发送数据产生采样率） 20KHz方波 0KHz方波 0KHz方波高低电平采样点数 信息码采样点数 ASK调制的调制度ma=1-2/(2+alpha) 根据2ASK调制度确定alpha值(Random generation of information code for error rate 信息码长度（帧长64bit） Message length (64bit) 息码速率为10KHz（100us） The rate of interest rate is 10KHz (100US) 发送带宽20KHz（信息码速率的2倍） Transmission bandwidth 20KHz (2 times the rate of the information code) 发送信号功率2W Transmit signal power 2W 载波频率70MHz Carrier frequency 70MHz 采样频率280MHz（发送数据产生采样率） Sampling frequency 280MHz (transmit data generated sampling rate) 20KHz方波 20KHz Fang Bo 0KHz方波 0KHz Fang Bo 0KHz方波高低电平采样点数 0KHz square wave height sampling points 信息码采样点数 Information code sampling point ASK调制的调制度ma=1-2/(2+alpha) ASK modulation of the modulation system ma=1-2/ (2+alpha) 根据2ASK调制度确定alpha值 Determine the alpha value according to the 2ASK modulation system )

说明：  基于径向基神经网络的算法逼近低通滤波器，用Matlab编程实现(Based on RBF Neural Network Approximation algorithm low-pass filter, using Matlab programming)

matlab的两个小球碰撞的模拟程序，很简单的。平时没事瞎编的。(Two small ball collision matlab simulation program, very simple. Usually nothing fabricated.)

yuv格式数据图像显示，420格式，yuv转rgb(yuv geshi shuju tuxiang xianshi，420 geshi， yuv to rgb)

这个工程实现了红绿蓝三个分量的提取，采用了新的方法，比传统的方法要清楚些，并且对红色分量做了DFT变换，用模版来对图像进行加密，为图像加密提供了一种新的思路。代码免费下载，功能优。(The project implements the extraction of three components red, green and blue, using a new method to make it clear than the more traditional methods, and components made of red DFT transform, the image used to encrypt the template for the image encryption provides a kinds of new ideas. Code free download, features excellent.)

ITS FOR CLUSTERING OF DATA IN MATLAB SOFTWARE

说明：  这是一个MATLAB torr3D三维重建工具箱，供图像处理的朋友学习。(This is a MATLAB torr3D reconstruction toolbox for image processing of the friends to learn.)

Source code to calculate PSD by the autocorrelation.

A multi-target tracking toolbox based on the MTT Library of the InstantVision ISE with expanded functionality and tools for off-line design, analysis and testing. The toolbox contains the implementation of distance calculation methods (e.g. city-block based), data assignment and association strategies (e.g. ENN and JVC), state prediction filters (e.g. IMM) with video marking and debugging tools in order to support a complex multi-target tracking system design.