l_esprit

超宽带高斯噪声的计算1，与其他的几个共用(Ultra-Wideband Gaussian noise calculation 1, and some other common)

说明：  Matlab加扰解扰仿真系统，可以观察加解扰前后信号的时域和频域波形，有助于理解扰码的概念和解扰的过程(scrambling and de-scrambling Matlab simulation system can be observed around Deinterference signals in time domain and frequency domain waveforms scrambler help understand the concept of the process and Descramble)

各种格式图像间的转换，图像的基本操作常用函数(Transition between images in various formats, the basic operation of common functions image)

七单元天线阵MUSIC DOA估计： d=1 ， 天线阵元的间距； lma=2， 信号中心波长； 四输入信号； A=[A1,A2,A3,A4]， 得出A矩； 四信号的频率d=[1.3*cos(v1*n) 1*sin(v2*n) 1*sin(v3*n) 1*sin(v4*n)] 构造输入信号矢量 U=A*d 总的输入信号 总输入信号的协方差矩阵 [s,h]=eig(c) 求协方差的特征矢量及特征值 取出与零特征值对应的特征矢量 求协方差矩阵的逆矩阵 应用Music法估计输出 绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* ⁢ sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues ​ ​ characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)

PSO寻优算法，能够帮助初学者学习PSO算法，并且进行实际应用(PSO optimization algorithm, PSO algorithm can help beginners learn, and practical application)

利用小波理论，基于db6小波基，小波信号分解。(Using the wavelet theory, signal wavelet decomposition, based on db6 wavelet.The program can run.)

说明：  这是个关于图像大津法分割算法的源程序，在matlab上实现。(This is about image segmentation algorithm of Otsu' s source code, in matlab to achieve.)

以时滞切换系统为对象，给出了使系统稳定的输出状态反馈器设计条件(Dynamic output feedback control for a class of switched delay)

在matlab下实现系统辨识设计，希望对大家有帮助(Matlab achieved in the design of system identification, and they hope to help everyone)

lvl method image segmentation