CVS Carbon

simulation mode glissant

简单脉冲雷达LFM信号仿真分析程序，包括LFM信号、回波仿真、脉冲压缩、FFT处理。(Simple pulse radar LFM signal simulation analysis program, including LFM signal, echo simulation, pulse compression, FFT processing simple pulse radar LFM signal simulation program, including LFM signal, echo simulation, pulse compression, FFT processing )

超声声场的线性描述与仿真工具，可以作为超声系统的研究有用工具，根据不同的输入 ，得到不同的超声图像，验证自己的算法。(The linear ultrasonic sound field description and simulation tool that can serve as a useful tool for study of ultrasound systems, depending on the input, get a different ultrasound images to verify their algorithms.)

论文 Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty 的算法源代码，是sparse+l1+lq,1的稀疏属性选择算法。( Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty Problem min 1/2 || A x- y||^2+ lambda_1* |x|_1+ lambda_2*|x|_{q,1} q=2, infty)

这是一个运用矢量控制方法实现异步电机调速的matlab模型，可以输出理想波形，绝对正确。(This is an asynchronous motor speed regulation using vector control method of matlab model, can output the ideal waveform, absolutely right. )

demonstrate the use of artificial neural network in MATLAB

matlab6.5图形图像处理源程序，很经典的一本关于图像处理算法和代码的书。(Graphics Image Processing matlab6.5 source, it is a classic on the image processing algorithms and code book.)

多种波束形成源代码，有很好的可扩展性 包括：直接相移波束形成，MVDR波束形成，music波束形成的源程序(A variety of beamforming source code, has very good scalability, including: direct phase-shift beamforming, MVDR beamforming, music source beamforming)

ofdm的基本开发matlab源代码，其中和QAM调制方式做了比较，内含说明文档。(the basic development of OFDM matlab source code and QAM modulation methods which make the comparison, including documentation.)

说明：  对一个二阶模型模型进行脉冲响应辨识，并且通过搭建simulink模型取得了两组输入-输出数据，一组是在有高斯噪声的干扰下获得u1-y3，另外一组是在没有高斯噪声的情况下获得的u1-y1，对这两组数据进行基于haar小波基的脉冲响应辨识，与实际模型的脉冲响应相比较（注：三个excel表必须放在matlab/work文件夹下才能运行）(Second-order model to a model of impulse response identification, and achieved through building simulink model for two groups of input- output data, a Gaussian noise in the interference with access to u1-y3, another group in the absence of Gaussian noise of access to the u1-y1, these two sets of data haar Wavelet-based impulse response identification, and the actual model of the impulse response comparison (Note: Three excel table must be on the matlab/work folder to run ))