Rproject

说明：  频域的模态参数识别方法之一，可以对振动信号进行分析处理，得出结构的固有频率，阻尼比，振型系数，方法很好，程序完整，(Frequency-domain modal parameter identification methods that can analyze the vibration signal processing, draw the structure of natural frequencies, damping ratio, mode shape coefficient, very good method, program integrity,)

说明：  matlab遗传算法实现论文，十分经典有用，对学习遗传算法编程很有帮助。(matlab genetic algorithm papers, very classic useful and helpful in learning genetic algorithm programming.)

Plot arrow in Matlab

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)

强预测器算法进行时间序列的预测，使得效果更好(Strong predictor algorithm)

matlab实现字符的识别，matlab实现字符的识别，(number recognition)

maximum ratio combining

canny operator for edge detection

1．进一步掌握栈的基本操作的实现。 2．掌握栈在算术表达式的计算方面的应用。 (1. Further understand the basic operation of the stack implementation. 2. Control stack in the calculation of arithmetic expression applications.)

实现各种信号的matlab程序，同时可以输出各个信号的波形，方便调试。(to produce every signal wavers,and you can see the wavers )