factor

线性调频信号（LFM）是雷达信号处理中的常见信号形式。 雷达成像中通过距离和方位2个方向的脉冲压缩实现高分辨成像。 附件中对这一技术的实现和误差分析进行了MATLAB仿真。(LFM (LFM) radar signal processing is a common signal format. Radar imaging distance and direction through the direction of two pulse compression to achieve high-resolution imaging. Annex to the realization of this technology and error analysis of MATLAB simulation carried out.)

1. Transfer function to state space model transfer function to state space A=[1 1 1] B=[1 6 11 6] [A,B,C,D]=tf2ss(num,den)

说明：  以单相光伏发电并网系统为研究对象，针对光伏发电并网技术，在Matlab/Simulink中进行了光伏电池的建模，并深入分析了光伏发电最大功率点跟踪技术和逆变器并网控制技术。(Taking the single-phase photovoltaic power grid system as the research object, aiming at the photovoltaic power grid technology, the photovoltaic cell model is built in Matlab / Simulink, and the maximum power point tracking technology and inverter grid connection control technology are analyzed in depth.)

不同方法估计协方差矩阵的Capon波束形成,以及多点约束的Capon波束形成和方向图，自己运行效果很好。(Different methods of estimation covariance matrix Capon beamforming, and multi-point constraints Capon beamforming and direction maps, run their own good results.)

矢量控制的坐标变换，可以实现park变换(Coordinate transformation vector control can be achieved park transformation)

对一维噪声信号进行信号处理，设计软阈值去噪、硬阈值去噪、以及多种阈值规则(to solve some problems)

说明：  自适应滤波器。自适应滤波器为11个权系数的FIR结构。（1）不同的方差σ2（2）LMS算法画出一次实验的误差平方收敛曲线，训练长度为500，给出滤波器系数；进行20次独立实验，给出平均收敛曲线。不同步长值的比较。（3）RLS算法，LMS和RLS算法的比较 (Adaptive filter. Adaptive filter weights for 11 of the FIR structure. (1) different variance σ2 (2) LMS algorithm for an experiment to draw square error convergence curve, the training length is 500, given filter coefficient conduct 20 independent experiments, given the average convergence curve. Are not synchronized long value comparison. (3) RLS algorithm, LMS and RLS Algorithms)

线性规划的MATLAB程序，希望对大家有用(Linear programming)

Matlab Sample Codes Implementation

自己编写的最近邻KNN算法，采用的距离是欧氏距离，附加了详细的中文注释，还有一个测试集和一个训练集( I have written KNN nearest neighbor algorithm, the distance is the Euclidean distance, additional detailed notes in Chinese, as well as a test set and a training set)