Chap_7

线阵的两种数字波束形成的MATLAB程序，固定权值的，添加了汉明窗以抑制旁瓣。(Linear array of two kinds of digital beamforming in MATLAB program, a fixed weight, and added a Hamming window to suppress sidelobe.)

用于描述离子扩散过程，在matlab环境下完成。(Used to describe the diffusion process is completed in the matlab environment.)

Script compares different algorithms of boosting family: methods = { AdaBoostM1 , LogitBoost , GentleBoost , RobustBoost , Bag }

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.)

gives the initial and final velocities of a trajectory connecting R0 to Rf over a transfer time of dT. This method uses universal variables, from Vallado.

用于实现SVD数学验证，即可正实两个事物的相关性等，(user of SVD)

matlab提取图像质心和主轴，使用的是matlab图像处理工具箱函数(extraction matlab image centroid and the spindle, using matlab image processing toolbox functions)

基于DFT的正弦波的频率、初相以及幅度三项参数的高精度估计方法，含测试程序。(DFT-based sine wave frequency, initial phase and amplitude of three high-precision parameter estimation methods, including test procedures.)

用于双基地MIMO雷达波离角和波达角估计的二维ESPRIT算法的matlab程序(a 2 dimensional ESPRIT Algorithm based on bistatic mimo radar for joint dod & doa estimation ，realized on matlab)

Fourier series in Matlab