__Matlab-zuiyouhuawenti

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

ArcIMS技术讲座，介绍软件如何使用，有利于初学者使用ArcIMS(ArcIMS technology seminars on how to use software that is conducive to beginners ArcIMS)

EKFUKF工具箱,卡尔曼滤波工具箱，很不错的(EKFUKF toolbox, Kalman filter toolbox, very good)

robot工具箱，有利于matlab的使用与提高(robot Toolbox is conducive to the use of Matlab and raise)

structural similarity index

自编比较全面的部分雷达信号编码，可自行修改使用，(Part of a more comprehensive self radar signal encoding, you can modify their own use,)

此程序适合平行二元阵天线，三维的，方向图乘积定理。(This procedure is suitable parallel binary array antenna, three-dimensional, the direction of graph product theorem.)

高斯勒让德公式，利用高斯勒让德两点公式计算积分，(Chrysler let Germany formulas, Chrysler let Germany two o' clock integral formula)

这是一个从书本上敲打上去的关于GPC的程序。非最小相位系统采用RLS辨识参数，输入为方波信号(This is a beat up books on the GPC program. Non-minimum phase system uses the the RLS identification parameters input square wave signal)

说明：  灰度门限化许多情况，图象是由具有不同灰度级的两类区域组成。如文字与纸张、地物与云层（航空照片）。其特点:直方图具有两个峰，分别与两个灰度级范围相对应 。故可选择一个门限，将两个峰分开。(Gray threshold of many cases, the image is gray level of two different regional groupings. If words and paper, surface features and cloud cover (aerial photograph). Its features: histogram has two peak, respectively, with the two gray-scale range corresponding to. So choose a threshold, separating the two peaks.)