autoregressive moving average method 自回归移动平均法
multivariate autoregressive moving average method 多元自回归移动平均法
Parametric Autoregressive (ar) model is the traditional time-domain EMG signal analyzing method.
自回归(AR)参数模型是传统的肌电信号时域分析方法。
A global smoothing method based on polynomial splines is used to estimate the coefficient functions in functional-coefficient linear autoregressive models.
基于多项式样条全局光滑方法，建立函数系数线性自回归模型中系数函数的样条估计。
A method of parameter estimation for multi-dimension autoregressive models (ar, NLAR) via neural network is given in this paper.
本文提出一种基于神经网络的多维自回归模型(AR, NLAR)参数估计方法。
应用推荐