Laguerre-fitting

Introduction to Estimation and the Kalman Filter (KC-1) Extended Kalman Filter Navigation System Example

高斯-赛德尔迭代法是解线性方程组的常规算法，本文是C语言的高斯-赛德尔计算代码(Gauss-Seidel C program)

说明：  uel fortran code for CPE4 with analysis of beam example

加入重复控制，模拟数据分析处理的过程，通过虚拟阵元进行DOA估计。( Join repetitive control, Analog data analysis processing, Conducted through virtual array DOA estimation.)

此程序是用多重散射理论计算二维声子晶体的结构的Fortran代码。(This program is multi-dimensional phonon scattering calculated crystal structure Fortran code.)

说明：  c语言用来进行数值计算的相关程序和论文，非常棒棒棒(C language for numerical calculation of the relevant procedures and papers, very good)

用MATLAB实现单因素/两因素重复测量方差分析，自带工具包中只有非重复测量的方差分析函数ANOVA。anova_rm实现单因素；rm_anova2实现两因素( function stats = rm_anova2(Y,S,F1,F2,FACTNAMES) Two-factor, within-subject repeated measures ANOVA.For designs with two within-subject factors. function [p, table] = anova_rm(X, displayopt)Single factor, repeated measures ANOVA.)

x-y图解法求二元精馏塔理论塔板数 本文件是一个m文件,要在matlab环境下运行(x-y graphical method for binary distillation theoretical plate number of this document is a document m, the operating environment Matlab)

说明：  利用muscl格式求解可压缩多相流，采用minimod,vanabada限制器(Using muscl scheme to solve the compressible multiphase flow, using Minimod, vanabada limiter)

针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低 信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。(To overcome the multipath effect, a fast algorithm for low elevation estimation for MIMO radar via matrix pencil is proposed. The signals both in transmit multipath and receive multipath are considered. Firstly, a forward-backward matrix pencil is formed based on the single-sampled vector. Secondly, the reduced-dimensional processing is applied to the matrix pencil via two unitary matrices. Finally, the generalized eigen-decomposition is employed to estimate the low elevation in multipath environments directly. Without the covariance matrix estimation, the proposed method can overcome multipath effect effectively in case of low SNR and estimate multi-target simultaneously. Compared with Maximum Likelihood (ML) method, it avoids spectrum peak searching and reduces the computational burden. Numerical results verify the effectiveness of this method)