06_DesignExploration

几个用MATLAB语言编写的扩展卡尔曼滤波例子，适合初学者(some example about EKF(Extended Kalman Filter))

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)

这是国标数字电视地面传输中生成矩阵的生成程序，只要按照MATLAB的格式输入国标附录1中的数据，就可以生成完整的G矩阵(This is the national standard of digital TV terrestrial transmission matrix generated in the generation process, as long as the input in accordance with the format of MATLAB Appendix 1 GB of data, we can generate the complete G matrix)

code of beamforming technique

this matlab model describes harmonics generation for study very useful

异步电动机的MATLAB仿真，根据异步电机在两相同步旋转坐标系下的数学模型, 利用SIMULINK软件包中的S函数模块和基本模块, 构建出电机的仿真模型。(MATLAB simulation of induction motor，According to the mathematical model of induction motor in the two-phase synchronous rotating coordinate system, the use of SIMULINK package S-function modules and basic modules to build the simulation model of the motor)

matlab的HMM训练程序，可用于语音信号的训练与处理。(matlab HMM training program, can be used for the training of the voice signal processing.)

matlab 虹膜识别,包括canny算子，hough定位(matlab iris recognition)

主要是数字信号中窗函数的设计与分析，matlab源代码的设计，提供了时域与频域分析(Is mainly the design and analysis of window function in the digital signal, the design of Matlab source code, provides the analysis of time domain and frequency domain)

用matlab编程使用粒子群算法解决ZDT测试函数(Programming with matlab using particle swarm algorithm to solve the test function ZDT)