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单脉冲雷达信号的波形的产生和其模糊函数的计算，以及模糊函数的图形。(Single-pulse radar signal waveform generation and the calculation of its ambiguity function, and the ambiguity function of the graphics.)

关于Gabor图像滤波的matlab算法，经测可用(About Gabor matlab image filtering algorithms, measured by available)

波数域算法又称为距离徙动算法（Range Migration Algorithm，RMA）或-算法，由Cafforio等提出。该算法分析距离处理后信号的二维频谱，通过二维频域匹配滤波进行相位补偿，在完成方位聚焦的同时完全校正距离徙动。由于其中的Stolt变换能克服SAR信号中距离徙动和SRC对斜距的依赖，因此波数域算法是一种理想的成像算法，尤其在处理大斜视角和长合成孔径的SAR数据时。但Stolt变换需要插值，降低了处理效率并引入额外的误差。(The wavenumber domain Algorithm is also called Range Migration Algorithm (RMA) or -algorithm, which is proposed by Cafforio et al.The algorithm analyzes the 2-d spectrum of the signal after the distance processing, carries out phase compensation through the 2-d frequency domain matching filter, and completely corrects the distance migration while completing the azimuth focusing.Because the Stolt transform can overcome the SAR signal range cell migration and SRC dependence on oblique distance, thus wavenumber domain algorithm is an ideal imaging algorithm, especially when dealing with large squint Angle and long synthetic aperture of SAR data.But Stolt transformation requires interpolation, reduces processing efficiency and introduces additional errors.)

java与matlab编程的例题。想要做类似工程项目的人员可以参考哦。(java and matlab programming examples. Want to do similar projects can reference Oh.)

计算一维向量的Renyi熵，已经设置为头文件，可以直接调用(One-dimensional vector of Renyi entropy, has been set for the header file, you can directly call)

遗传算法Matlab源代码,优化目标函数比较广泛，是常用的算法之一，同时也是学习其他算法的基础。(Genetic algorithm (ga) )

有源带通滤波器设计软件Filterlab中文使用参考资料(Active band-pass filter design software Filterlab Chinese use reference materials)

Bartlett window filters

说明：  使用iwr16xx雷达板进行人体摔倒检测(Fall detection, useTI iwr16xx board)

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)