Mini-Project-On-am-rx

实现高斯背景建模，并且提取运动目标。具有良好的适用性(Gaussian background modeling to achieve, and extract the moving target. Good applicability)

参考外国文献，通过MATLAB程序编写了以两个简单的jqaVXl映射构造一个双混沌互扰 EBJoQRn系统,提出了基于双混沌互扰系统的无线加密算法，具有防窃听的能力，调试无错误。(References to foreign literature, through MATLAB programming the jqaVXl with two simple mapping to construct a mutual interference EBJoQRn dual chaotic systems is proposed based on the wireless encryption algorithm dual chaotic mutual interference system has the ability of anti-wiretapping, debugging errors. )

小数据量法计算最大lyapunov指数工具箱，原来的那个工具箱中有点误差，现在改进了只对前一部分直线状数据进行计算，使结果更加准确(A small amount of data calculated index of the largest lyapunov toolbox, the original error that the toolbox a bit, and now has improved only in a straight line like the first part of the data is calculated so that the results more accurate)

matlab code neural network

基于Lab空间的彩色图像分割（一种很好很简单的方法 值得所有人学习(Lab-based color image segmentation of space (a good easy way） worth to learn for everyone)

说明：  目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据，对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时 刻的位置进行预测。本文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 (kalman filter)

对CDMA无线通信信道进行matlab代码仿真。(Carried on the CDMA channel matlab code simulation)

说明：  ：Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常 重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰 度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情 况下仍能实现稳定、实时的跟踪目标。(: Mean-shift algorithm is a nonparametric density estimation algorithm, the optimal matching can be fast, real-time tracking fields in the target plays an important role. In order to effectively Mean-shift algorithm will be applied to the gray image, the histogram used to establish the direction of the strategy target model is proposed in the gray image to Mean-shift tracking algorithm as the core. Experimental results show that the algorithm has the advantage of not lighting conditions, in the case of low contrast can still achieve stability, real-time tracking of targets.)

DDA line Algorithm for draw line by matlab

text classifier to classify some text file