IO_VMD

自写的基于MUSIC的ISM宽带测角谱估计算法，线性调频信号，4阵元，2目标，正常运行。(My own MUSIC based ISM broadband DOA estimation algorithm. Chirp signals, four elements, two objection. Functioning properly.)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

说明：  kalman滤波基本程序框架并针对匀速直线目标跟踪(kalman filter and the basic procedural framework for the uniform straight line tracking)

在进行交通流仿真时考虑两类车，不同的车长和不同的最大速度。(Consider when making traffic flow simulation two cars, a different car lengths and different maximum speeds.)

一个单位负反馈系统的滞后超前频域法校正，可直接在matlab中打开和运行(A unit negative feedback system lag correction ahead frequency domain method can directly open and run in matlab)

风羽图，画风廓线用的。在一个英文网站上找到的，与大家分享。也希望有高手编出更好的程序来画风羽图。(Barbs the Figure, style profiles. Found on an English website to share with you. We also hope to have a better program to compile the master style feather map.)

说明：  系统介绍了几种常用的小波变换程序（matlab）(The file introduces some common wavelet transformation programs )

lyapunov指数计算常用方法，包括定义法、小数据量法、正交法、wolf法，以lorenz系统为例，内有详细说明，均以通过测试(lyapunov Index commonly used methods, including the definition of law, a small amount of data, orthogonal method, wolf law to lorenz system, for example, with detailed instructions, are tested)

multi-object detection by cam shift

EKF,PF,MVEKPF仿真算法，关于这几种卡尔曼滤波算法、粒子滤波算法的仿真对比分析。(The simulation algorithm of EKF,PF,MVEKPF。 About the several kalman filtering algorithm, particle filter algorithm simulation analysis. )