matlabcommand

数字信号处理，包括FFT变换、Z变换、滤波器等的matlab实现(Digital signal processing, including FFT, Z-transform, filters, etc. matlab implementation)

implementation of fuzzy logic of vector control

计算一个方柱的散射的波形，并求其RCS。方柱的网格总数是N=500个，时间步为1200步。网格尺寸为lamda/18,时间间隔是ddx/2*c，c为光速。脉冲源位于中心。方柱边长为7*lamda。并与相同尺度的球的散射场进行对比(Calculate the scattered waveform of a square column and find its RCS. The total number of grids of the square column is N=500 and the time step is 1200 steps. The grid size is lamda/18, the time interval is ddx/2*c, and c is the speed of light. The pulse source is at the center. The side of the square column is 7*lamda. And compare the scattering field of the ball of the same scale)

一种时频变换方法—伪Margenau-Hil分布，用于信号时频分析。(Of a time-frequency transformation method- Pseudo Margenau-Hil distribution for signal time-frequency analysis.)

simulation antenna parapol

In control theory and stability theory, root locus analysis is a graphical method for examining how the roots of a system change with variation of a certain system parameter, commonly a gain within a feedback system. This is a technique used as a stability criterion in the field of classical control theory developed by Walter R. Evans which can determine stability of the system. The root locus plots the poles of the closed loop transfer function in the complex s-plane as a function of a gain parameter.

电网短路故障下LCL型光伏并网逆变器控制(LCL photovoltaic power grid short-circuit fault and network inverter control)

Electronic Communication Systems的Matlab源码，对该书的学习很有帮助(Electronic Communication Systems of the Matlab source code of the book very helpful to study)

适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)

基于云模型的评价应用研究，内容详实，有利于建模(Evaluation of applied research based on cloud model, informative, beneficial modeling)