costas

说明：  通过实验，熟悉Matlab编程环境，学习Matlab的基本使用方法，包括基本的数学运算、图形绘制和编写m文件仿真及使用帮助命令等。(Through the experiment, familiar with the Matlab programming environment, learning the basic use of Matlab, including basic mathematical calculations, graphics rendering and the preparation of m documents and the use of simulation to help orders.)

实现重力反演，提供实例，建立模型正演，然后进行反演(Realize the gravity inversion, provide examples, modeling forward and inversion)

matlab环境下采用otsu与遗传算法相结合确定分割最优阈值(split adopt the otsu and genetic algorithm combined to determine the optimal threshold matlab environment)

OCR的一个简单小程序，可以直接使用，matlab版本的，检测率很准。(OCR is a simple applet can directly use the Matlab version of the detection rate is very accurate.)

这个turbo码的matlab仿真程序~~希望对大家会有用~~谢谢~~我只想要和大家分享一下(The turbo code matlab simulation program we hope will be useful ~ ~ ~ ~ ~ I just want to thank you and share with you)

这是一个mppt算法在matlab/simulink环境下的仿真。(this is a mppt algorithms with matlab/simulink.)

中频通信信号信噪比的快速盲估计 中频通信信号信噪比的快速盲估计 (Fast Blind SNR Estimation of IF Communication Signals )

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)

详解MATLAB数字图像处理(张德丰)[程序源代码](Detailed MATLAB digital image processing (Zhang Defeng) [source code])

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