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。
The hydrological method is using the hydrological series data to establish the autoregressive and multivariate recurrence models.
水文方法是利用水文序列资料建立自回归模型和多元递推模型。
We study the linear transmission of analog message for Gaussian autoregressive channel with noiseless feed-back by means of optimal control method.
利用最优控制思想来研究在具有无噪反馈的高斯自回归信道上的消息传输。
Generalized method of moments (GMM); Mixed regressive-spatial autoregressive (MRSAR); Over-identifying.
广义矩方法（GMM）；混合回归-空间自回归（MRSAR）； 过度识别。
In this paper, a method of network traffic prediction based on wavelet transform and autoregressive model is proposed.
本文前言部分，主要介绍了网络流量预测的研究背景及本文的工作。
A new cepstrum based noncausal autoregressive (AR) system identification method is proposed to solve the problem of adaptive identification of noncausal AR system.
为解决信号处理中非因果自回归（AR）系统的自适应辨识问题，本文提出了一种利用倒谱进行AR系统辨识的新方法。
The autoregressive largest pole magnitude (ARLPM) is strong practical method, especially in the area of short time detection.
最大极点幅度检测(ARLPM)是目前实用性较强的一种方法，特别在短时检测方面有着不错的效果。
The compressor exit total pressure is adopted as a characteristic signal to detect surges. An ar (autoregressive) model is constructed with the time series analysis method.
以压气机出口总压作为喘振检测特征信号，采用时间序列分析方法建立了AR模型。
The autoregressive largest pole magnitude (ARLPM) is a method with high practicability, especially for short time detection.
最大幅度极点检测(ARLPM)是目前实用性较强的一种方法，特别是在短时检测方面有着不错的效果。
The autoregressive largest pole magnitude (ARLPM) is a method with high practicability, especially for short time detection.
最大幅度极点检测(ARLPM)是目前实用性较强的一种方法，特别是在短时检测方面有着不错的效果。
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