threephase-full-control

说明：  形态学成分分析二维图像(矩阵)使用高度复杂词典和稀疏矩阵促进处罚。(MCA of a 2D images using highly redundant dictionaries and sparstity promoting penalties.)

大纲很简单地独立分量分析理论和盲源分离技术20多年的发展历史，及其程序。(Independent component analysis of the history of the development of the theory and blind source separation technology more than 20 years, and its procedures.)

Making Cylinder code for matlab using top and bottom point with radius

主成分分析的代码，很有用，效果很好。这是一个比较有用的C++代码。(Principal component analysis of the code, very useful, very good. This is a more useful C++ code.)

这是一个对数字信号功放非线性效应的预失真处理的编码，对于初学者有很好的指导和参考意义。(This is to encode a digital signal pre-distortion amplifier nonlinear effects processing, a good guide for beginners and a reference value.)

实现车俩的实时监控导航，包括车流量的检测，轨迹分析等等，内容。(They realize the real-time monitoring of vehicle navigation, including flow testing, trajectory analysis, etc., content.)

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：  有色噪声干扰下多变量系统的辅助模型辨识方法(Colored Noise multivariable model identification method of the auxiliary system)

本资料为个人matlab编程的圆阵波束形成算法仿真，包括窄带信号和宽带信号，同时分别提供了时延波束形成、相移波束形成和频域波束形成三种算法。程序完整、调试通过、可运行得到输出。(This information is for personal matlab programming circular array beamforming algorithm simulation, including narrowband signals and wideband signals, respectively, while providing a time delay beamforming, phase shift beamforming and frequency domain beamformer three algorithms. Program integrity, debugging through, you can run to get the output.)

The modeling of the three phase induction machine is explained in this matlab simulink model.