Robust Autoregression with Exogenous Input Model for System Identification and Predicting

Robust Autoregression with Exogenous Input Model for System Identification and Predicting

Autoregression with exogenous input (ARX) is a widely used model to estimate the dynamic relationships between neurophysiological signals and other physiological parameters. Nevertheless, biological signals, such as electroencephalogram (EEG), arterial blood pressure (ABP), and intracranial pressure...

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Bibliographic Details
Main Authors: Jiaxin Xie, Cunbo Li, Ning Li, Peiyang Li, Xurui Wang, Dongrui Gao, Dezhong Yao, Peng Xu, Gang Yin, Fali Li
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
EEG
ARX model
L<i>p</i> (<i>p</i> ≤ 1) norm
artifact outliers
Online Access:https://www.mdpi.com/2079-9292/10/6/755

Internet

https://www.mdpi.com/2079-9292/10/6/755

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