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这是信号处理中循环谱密度的一个DEMO，有些文章中称其为循环平稳信号的组合切片(A demo of cyclic spectra density. it also can be called combinated splice on cyclostationary signal in some papers.)

一个非常简单的利用转移矩阵法求解薛定谔方程的matlab程序(A very simple transfer matrix method for Schrodinger equation solution)

数据的预处理方法，极差归一化，用于对大量数据的预处理(Poor data pretreatment method, normalization, designed for large amounts of data pretreatment)

基于Matlab/Simulink的三相桥整流器的故障仿真(Fault simulation of three-phase bridge rectifier)

电力系统潮流算法，PQ和NR法，都有详细说明( Study on Power Flow Algorithm for Ungrounded Distribution Networks)

仿真图是速度、距离、幅度三维图像，一种噪声辅助数据分析方法,GPS和INS组合导航程序，匹配追踪和正交匹配追踪，预报误差法参数辨识-松弛的思想，计算多重分形非趋势波动分析，本程序的性能已经达到较高水平。( FIG simulation speed, distance, amplitude three-dimensional image, A noise auxiliary data analysis method, GPS and INS navigation program, Matching Pursuit and orthogonal matching pursuit, Prediction Error Method for Parameter Identification- the idea of relaxation, Calculate the multifractal trend fluctuation analysis, The performance of the program has reached a high level.)

雷达信号到达角估计的MATLAB代码，进行了多参数的对比仿真和结果比较(Radar signal DOA estimation MATLAB code for the comparison of simulation and multi-parameter comparison results)

MATLAB程序之曲线拟合算法源码资料MATLAB program for curve fitting algorithm source data(MATLAB program for curve fitting algorithm source data MATLAB program for curve fitting algorithm source data)

主程序arma2Ddemo是对模拟图像的2DAR和ARMA参数估计。(arma2Ddemo: See and run the demo arma2Ddemo for an example of 2D AR and ARMA parameters estimation from simulated images. - sim_ar2d: generation of simulated 2D AR process. - sim_arma2d: generation of simulated 2D ARMA process. - ar2d: solves 2D yule walker to estimate AR parameters - arma2d: estimation of 2D ARMA parameters. First step: estimation of the gaussian input by inv_ar2d, Second step: linear system solution to estimates simultaneously AR and MA parameters, as explained in [1]. - inv_ar2d: first step in arma2d. Filters through inverse filter 1/AR an AR process, to generate its innovation Gaussian signal. It is used here to estimate the Gaussian noise input to the ARMA 2D process, approximating the ARMA model to a high order AR model. - poles2coeff: converts poles chosen by user to AR or MA coefficients (support function) )

用自相关法求使信号s均方预测误差为最小的预测系数 算法为Levinson-Durbin快速递推算法 (Method using the signal from the associated mean square prediction error s for the smallest prediction coefficient algorithm Levinson-Durbin recursive algorithm for fast)