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.

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In this paper, a method analyseis provided, which based on AR model and Bayes taxonomy.

提出了一种结合AR模型和贝叶斯分类的肌电信号动作模式识别方法.

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A linear AR model is set up to be applied in real - time flood forecasting.

建立线性自回归模型,应用于洪水 实时 预报,并应用AIC、 BIC这两种准则以确定自回归模型的阶数.

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Switching model describe China's inflation behavior more appropriately than linear AR model or ARCH model.

本文结果还表明,域变模型相对线性自回归模型以及arCH模型更好地刻画了中国通胀率过程的特点.

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Methods: TDI was used to prepare the AR model among pigs at first.

方法以TDI为 致敏原,对豚鼠行鼻内给药法建立鼻超敏反应模型.

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This paper uses AIC information criterion to determine the order of AR model.

采用AIC信息准则来确定AR模型的阶.

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