Rayleigh_Channel

MATLAB code to Apply DCT on the image and obtain the output and On the DCT image apply quantisation using standard quantizer

matlab功率谱，带显著性检验,程序给予时间序列的自相关过程做简介估算(matlab power spectrum, with a significant test, the program to give time series of self-related processes do estimates About)

和自回归模型一起写的小波模型，里面用到了自回归，自回归模型已上传(Since the regression model and the wavelet model with writing, which used the autoregressive, autoregressive models have been uploaded)

CurveLab-1.0工具箱，附带一些demo(CurveLab-1.0 toolbox，with some demo)

雷达回波信号检测，LFM信号，脉冲压缩，MTD，相干积累，长线积累，距离走动，速度模糊(Radar echo signal detection, LFM signals, pulse compression, MTD, coherent accumulation of long term accumulation, walking distance and speed)

pcm编解码模型，测试指定误码条件下PCM解码语音信号的音质和可懂度(pcm codec model, sound quality and intelligibility test conditions specified BER PCM decoded speech signal)

神经网络理论与matlab实现，第八章，适合初学者(Matlab neural network theory and implementation of Chapter VIII, for beginners)

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)

该程序允许操作者用鼠标画出任意种桁架，然后求解，最后以图形方式输出结果。(The program allows the operator to use the mouse to draw any kind of truss, and then solving, and finally output the results graphically.)

可以用来产生复杂网络，复杂网络是现在研究热点。(can be used to produce complex networks and complex network is now hotspot.)