radarsignal

新的2维角度估计的高分辨方法。该方法首先建立基于范数约束的最优化问题的目标函数；然后用迭代算法沿均匀面阵接收数据的方位向求最小化目标函数的稀疏解，得到方位、俯仰角耦合的空间角频率，并分离信号；最后对每个分离的信号，沿面阵俯仰向求稀疏解，得到信号的俯仰角，进而求得对应的方位角。(The new high-resolution 2-D angle estimation method. Firstly, the establishment of an objective function optimization problems based on norm constraint then iterative algorithm along with uniform orientation plane array receives data to seek to minimize the objective function is sparse solution, get directions, spatial frequency coupling angle pitch angle, and separated signals Finally for each signal separation along the sparse area array pitch to seek solutions to obtain the pitch angle of the signal, and then obtain the corresponding azimuth.)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

说明：  相当全面的介绍云计算与云存储的资料，据说这是计算机科学最有发展前途的方向之一(A fairly comprehensive introduction to cloud computing and cloud storage data, which is said to computer science the most promising directions of)

说明：  解线性方程组的迭代法-Jacobi迭代和Gauss-seidel迭代法(Solving linear equations iterative methods-Jacobi iteration and Gauss-seidel iterative method)

本人自编的一个基于matlab平台的定时摄像的GUI界面程序，在定时方面，考虑了程序运行的时间，即严格按照定时间隔进行拍摄图片，并可设置任意路径(A good matlab program, written by myself, is used for capturing images at a fixed interval of time.)

沿著軌道運動的紅點，画一个红点让其沿着所画图形开始运动(Along the orbital motion of the red dot)

典型磁滞模型的的matlab m文件编程，对初学者很有帮助(Typical model of hysteresis of matlab m file programming, to beginners helpful )

A radial basis function network is an artificial neural network that uses radial basis functions as activation functions. It is a linear combination of radial basis functions. They are used in function approximation, time series prediction, and control.

稀疏低秩表示，基于稀疏表示的子空间谱聚类方法(Sparse representation)

标准PSO算法源代码（matlab） 不少网友需要PSO源代码，现将很早前的matlab代码贴上来。不过俺已经不搞学术很久了，现从事财政公务员工作，因此可能无法解答更多问题。(Standard PSO algorithm source code (matlab) that many users need to PSO source code matlab code much earlier now Tieshanglai. But I have been a long time not to engage in academic, civil servants are engaged in financial work, and may not answer more questions.)