一种用总体最小二乘法来估计ARMA模型的实例，在MATLAB中进行了仿真，附有MATLAB仿真程序-A total least squares method to estimate the ARMA model examples were carried out in the MATLAB simulation, with a MATLAB simulation program

基于最小二乘法和奇异值-总体最小二乘法(SVD-TLS)的 ARMA模型谐波频率估计 -Based on the least square method and singular value- the overall least squares (SVD-TLS) of the ARMA model of harmonic frequency estimation

利用先后估计法对arma模型进行参数估计-最小二乘法得到的AR部分的估计参数-arma model parameter estimation

分析了噪声背景下实谐波过程ARMA模型系数之间的对称性,并以此为约束条件加入ARMA谱估计方法的求解过程中,从而提出了一种改进的正弦信号频率估计方法.理论分析与计算机仿真表明,对于低信噪比条件下的正弦信号参量估计,这一算法的精度与稳定性都优于仅使用总体最小二乘法(SVD-TLS)的ARMA谱估计方法.-Analysis of real harmonic process noise background symmetry between ARMA model coefficients, and a

基于MMCM5883磁力计的椭球拟合算法，COIDE平台，最小二乘法-Ellipsoid fitting program C source code for MMCM5883, based on least squares fitting ellipsoid, develop platform:COIDE