matlab_baili

OFDM频偏估计优化算法代码，次代码文章是2007年硕士毕业优秀论文，具有很高的参考价值。(OFDM Offset Estimation Algorithm optimization code, sub-article code is 2007 graduate Master of excellent essays, have a very high reference value.)

灰度共生矩阵提取特征值，最近邻算法，进行纹理图像分类。creat_apprentissage用来训练样本，cooccurence是灰度共生矩阵提取特征值，knn是进行k最近邻算法，classif是纹理图像分类(coocurence matrix，using K nearest neighbor to classify textures images.)

it s about equalizer and filter. The document is written in Indonesian and it s a report from the practical work

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运用多种手段进行空间域图像处理，有图片以及相关文档(The use of various means of spatial domain image processing, there are pictures and related documents)

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)

图像拼接，利用简易算法完成拼接过程，可实现不同数量的图像以为拼接。所采用图例为最新一届全国数学竞赛图片。绝对原创(Image mosaic, complete the splicing process using simple algorithm, which can realize image splicing different number of thought. The legend for the new session of the national mathematics contest. )

ASKMODULATION USING MATLAB

说明：  matlab下模式识别分类后的统计，画图，简单，通用。(matlab classified under the statistical pattern recognition, drawing, simple, common.)

PSOMATLAB Department of Computer Science, Sun Yat-sen University, No.135, Xingang West Road, Guangzhou 510275, P.R. China.This is a problem about pso to matlab.(Department of Computer Science, Sun Yat-sen University, No.135, Xingang West Road, Guangzhou 510275, P.R. China.This is a problem about pso to matlab. )