tftb

Gaussian beam transmissionGaussian beam transmissionGaussian beam transmission(Gaussian beam transmissionGaussian beam transmission)

ID3+C4.5的源程序。用于数据挖掘决策算法的一个实例。(ID3 C4.5 of the source. Data Mining for a decision algorithm examples.)

读入文件，对文件进行无损预测编码和解码，然后对文件进行DM编码和解码(Read the file, the file lossless predictive coding and decoding, and then the file encoding and decoding DM)

this is a chapter of famous book by van trees"optimum array processing"

对模拟退火算法进行分析，介绍，并用两种matlab方法对算法进行仿真(The simulated annealing algorithm is introduced, and the algorithm analysis, simulation is carried out with two kinds of MATLAB methods)

利用高斯过程回归建立软测量模型，主程序名为OnlineStage.m,包含数据，可以直接运行，亲测可用。(Gaussian process regression soft sensor model, the main program named OnlineStage.m, contains data that can be run directly, pro-test available.)

MATLAB实现高通及低通滤波器，是实验上编写的代码，多指教(MATLAB high-pass and low pass filter is experimentally write the code, multi-Zhi Jiao)

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)

两倍过采样的频域均衡器，采用MMSE算法最小化均方误差(two upsample frequency decision feedback equaliter，with MMSE criterion)

双离合变速器，主要是对变速箱进行simulink仿真，模拟动力传输路径(DCT transmission)