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SINR_roubst_beamforming算法(SINR_roubst_beamforming)

这是一个实现GVF（广义梯度矢量流算法）的matla代码，(This is a realization of GVF (generalized gradient vector flow algorithm) matla code,)

介绍了随机信号处理，并重点阐述了卡尔曼滤波在随机信号处理中的应用，并有matlab仿真的实例。(Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercise)

gold and other sequences generation for UWB transmission

给出不同情况下单缝菲涅尔衍射的光强分布图和灰度图(The intensity distribution and grayscale map of single Ja Faye Nel diffraction under different conditions are given.)

利用相机指纹对相机的来源进行源辨认中参考模式噪声的求取(Reference noise)

两步最小二乘arma法，k为算法中带估计的ar参数个数(Two-step least squares arma method, k is the algorithm with a number of parameters estimated ar)

批量处理灰度图像，并能够识别图像质量中心进行截圆处理，同时生成灰度直方图以及各个点的坐标文件(Batch processing grayscale images, the image quality and the ability to identify the center circle cut deal, while generating histogram and the coordinates of each point file)

3 tank system use for control

模拟频分复用系统，仿真了6路公用信道的ssb调制的频分复用系统(Simulation of frequency division multiplexing system, simulation of no.6 public channel of SSB modulation frequency division multiplexing system)