qaopui

cognitive radio energy detection

光反馈产生混沌激光，并画出混沌激光的时序图、自相关曲线和相位图，并计算出混沌的带宽(Optical feedback chaotic lasers, laser chaos and draw a timing diagram, autocorrelation curves and phase diagram, and calculates the bandwidth of Chaos)

说明：  MATLAB教室人数统计（含界面GUI，详细注释，论文） 运行方式 matlab命令窗口输入guide回车 选择fig文件，选择改变路径 运行即可 可二次开发成教室考勤系统，识别出教室里面的人是谁。(Matlab classroom number statistics (including GUI interface, detailed notes, papers) Operation mode Matlab command window input guide enter Select fig file and change path Can run It can be developed into a classroom attendance system to identify who is in the classroom.)

matlab in power system

ct投影重建（shep-logan模型的生成投影以及重建）(ct projection reconstruction (shep-logan model for the generation of projection and reconstruction))

说明：  神经网络与matlab7的实现 配套资料下载 .m格式(neural network and the realization matlab7 supporting information downloaded. M format)

LTE 仿真平台 国外维也纳大学网站 MATLAB仿真(LTE matlab )

说明：  CS成像算法的matlab程序，RADARSAT-1真实回波数据成像实验。(CS imaging algorithm matlab program)

恒虚警检测CFAR仿真，杂波边缘 多目标情况(the coding of the CFAR technology)

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)