radar2

color detection algorithm

说明：  MATLAB是一个非常好的用于测量，分析和可视化的数据，控制仪器，并建立测试系统。安捷伦信号和频谱分析仪可让您分析失真，虚假的，相位噪声，用于2G到4G无线通信测量。这种Matlab下开发的高级数据可视化（ADV）的应用软件，扩展了安捷伦信号和频谱分析仪的可视化功能，提供了四个不同的显示格式：Analog Advanced, Analog Plus, Waterfall,和Spectrogram。这些显示使得更加容易捕获间歇性信号。(MATLAB is a very good for the measurement, analysis and visualization of data, control apparatus, and to establish test systems. Agilent signal and spectrum analyzers lets you analyze distortion, false, phase noise, for 2G to 4G wireless communication measurements. This developed under Matlab Advanced Data Visualization (ADV) of the application software, the expansion of the Agilent signal and spectrum analyzer visualization capabilities, providing four different display formats: Analog Advanced, Analog Plus, Waterfall, and Spectrogram. These shows make it easier to capture intermittent signals.)

这是我们通信原理课程的实验，里面包括各种通信原理实验中的码型，波形，眼图文件等等，供同专业的朋友们学习参考。(This is our experimental communication theory courses, which include a variety of communication theory experiment in pattern, waveform and eye diagram files, etc., for friends who study with professional reference.)

本程序是计算光子晶体光纤问题，主要是模拟仿真(This procedure is to calculate the photonic crystal fiber problem is simulation)

plot figure no focus(figure no focus)

这个是一个关于ofdm多径信道的程序,很好的程序,好不容易找到的.(This is a study on the OFDM multi-path channel of procedures, very good procedures, hard to find.)

基于方差约束 ,研究一类不确定线性定常随机离散系统的 H ∞滤波问题。提出了一种 鲁棒滤波的新算法 ,该算法克服构造对角矩阵约束性较强( H ∞filtering problem under the constraint of variance was discussed for a class of linear stochastic uncertain system. A new algorithm of robust filter design was proposed which avoids strict constraint in constructing diagonal matrix to meet upper bound of variance. The robust filter with both constraints of variance and H ∞was given based on linear matrix inequality (LM I) )

matlab的函数大全，挺有用的，不错哦！(function about matlab，very useful！)

Face Recognition Based on Statistical Moments

本程序为基于BP神经网络的Pid调参方法，用于控制某时变系统，以提高系统的自适应性能(This program is Pid Scheduling method based on BP neural network to control a time-varying systems in order to improve the adaptive system performance)