AVO-PP-Class

this is Customer Evaluation by neural network

MIMO system simulation.

先进PID控制matlab仿真源程序,多个典型实例具体说明，清晰易懂。(Advanced PID control matlab simulation source code, more typical examples of specific instructions, clear and easy to understand.)

mars toolbox for data analysis

一种求解基础矩阵的方法，matlab实现(Solving the fundamental matrix method, matlab achieve)

含噪语音的语音增强，包换多种算法的去噪效果对比，最后集中在一个操作界面上。(Speech enhancement in noisy speech, noise effect contrast to replacement of several algorithms, finally concentrated in one operating interface.)

说明：  基本的量子遗传算法实现，代码简单易懂，可加入改进程序(Implementation of Basic Quantum Genetic Algorithms)

sequencia de imgs loira secretaria

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)

InSAR最优化融合滤波的matlab程序，通过测试，算法有效可行(Optimal integration of InSAR filtering matlab program, pass the test method is effective)