BPSK_soft

卡尔曼滤波对PID控制的噪音滤除。给出滤波器对控制干扰和测量噪声具有很好的滤波作用(Kalman filter on the PID control filter out the noise. Give filters to control interference and measurement noise filter has a good role)

扩展卡尔曼滤波算法以及不敏卡尔曼滤波算法的比较(the comparison between EKF and UKF)

matlab image procesing

一个实现有限队列的matlab程序，采用面向对象的编程方法。(A realization of the limited queue matlab procedures, the use of object-oriented programming methods.)

基于泊松过程的检测与估计原理和方法，对“有符号间干扰信道”中的类似问题进行仿真，并最终给出了仿真数据趋势图。 (Poisson process based on principles and methods of detection and estimation of "inter-symbol interference channels have" similar problems in the simulation, and ultimately gives the simulation data trends.)

说明：  波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)

说明：  网格映像法仿真瑞利高斯分布，单个辐射单元，单个距离单元，杂波面(Simulation of Rayleigh imaging method grid Gaussian distribution, a single radiating element, a single range cell, surface clutter)

computate and design route for vinasat 1 sattline

光伏单项并网控制仿真，包括最大功率点跟踪MPPT(Simulation of single grid-connected photovoltaic control, including MPPT with maximum power point tracking)

最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法(LS)