pid-a

rlseq.m 均衡算法 用RLS算法实现(rlseq.m equalization algorithm using RLS algorithm)

利用matlab做线性回归,简单，好用，可以处理一般的回归问题(Using matlab to do linear regression, simple, easy to use, can handle general regression problem)

说明：  use to calculated the PTDF matrix.

这个是车牌识别的程序.很简单,功能也简单!可以通过这个了解车牌识别的流程!(This is a License Plate Recognition procedure. Is very simple functions simple! Can identify through this understanding of the process of license plate!)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

均匀圆阵仿真:m=8 阵元数 azimuth=[-55 0 40] 方位角 p=length(azimuth) 信号源个数 snap=1000 最大快拍数 drl=0.5 圆阵半径与波长之比 snr=15 信噪比dB 流程：1、构造信号2、构造噪声阵列流型矩阵3、观测信号4、观测信号协方差矩阵5、求解特征值与特征向量6、显示图谱。(The uniform circular array simulation: m = 8 element azimuth = [-55 0 40] azimuth p = length (azimuth) number of source snap = 1000 maximum number of snapshots drl = 0.5 ratio of the radius of the circular array wavelength snr = 15 SNR dB process: 1, constructed signal structure noise array manifold matrix 3, the observed signals observed signals covariance matrix 5 eigenvalue and eigenvector 6, display the map.)

程序实现了仿真信号的混合，并对混合信号进行分离，得到相互独立的信号，分离效果明显。(Program achieved a mixed signal simulation, and mixed-signal separation, be mutually independent signal separation effect is obvious.)

基于MATLAB的抽象物理概念图像化研究(MATLAB-based visualization of abstract concepts of physics)

说明：  TSP的matlab算法，包含相关的源代码及算法说明(matlab algorithm of TSP )

教材：电力电子和电力拖动控制系统的MATLAB仿真(P1-P140)(BOOK ABOUT MOTOR)