Response_surface_partial_least_squares_method

通过最小二乘辨识系统模型，并进行必要的分析，是上系统辨识课的实验内容，有程序和报告(By least squares identification system model and the necessary analysis on System Identification lesson experimental content, procedures and reporting)

说明：  LM莱文博格马夸特优化算法，python语言(this is a file of LM algorithm which was wroten by python language)

说明：  数学建模 马尔科夫链的详细讲解 马尔科夫链的详细讲解 数学建模(A detailed explanation of markov chains for mathematical modeling)

abaqus子程序学习资料，欢迎大家下载学习，共同讨论~(ABAQUS subroutine learning materials)

非线性有限元及程序这本书,很有用的，程序也很全面(NONLINEAR FINITE ELEMENT AND PROGRAM)

关于非线性离散系统辨识，小波包分析提取振动信号中的特征频率，有小波分析的盲信号处理。( Nonlinear discrete system identification, Wavelet packet analysis to extract vibration signal characteristic frequency, There Wavelet Analysis Blind Signal Processing.)

说明：  拓扑优化MMA算法从空间的一个初始设计点出发，沿着某个搜索方向以适当步长的迭代格式 ，实现对设计变量的修改，以获得的值。(Starting from an initial design point in space, the topology optimization MMA algorithm modifies the design variables in an appropriate iterative format along a certain search direction to obtain the optimal value)

基于分数阶傅里叶变换的线性调频信号的自适应时频滤波，希望对大家有用(Based on Fractional Fourier Transform Linear FM signal adaptive time-frequency filtering and hope for all of us)

用于三点定位的算法，是做声音定位可用的，希望有部分帮助，可适当运用(It is used to location the point you want.)

说明：  集合卡尔曼滤波(EnKF) 数据同化方法可以避免了EKF 中协方差演变方程预报过程中出现的计算不准确和关于协方差矩阵的大量数据的存储问题,最主要的是可以有效的控制估计误差方差的增长,改善预报的效果。(Ensemble Kalman Filter (EnKF) data assimilation methods can be avoided in the EKF covariance forecasting the evolution equation arising in the course of the calculation is not accurate and on the covariance matrix of a large amount of data storage problems, the most important and effective control can be estimated error variance of the growth, improvement in forecasting results.)