Determining ARMA Model Parameters for Biomedical Signal Applications based on Estimation of the Equivalent AR Model

被引：0

作者：

Park, Junho ^{[1
]}

Lee, Geon ^{[1
]}

Choi, Youngjin ^{[1
]}

机构：

[1] Hanyang Univ, Dept Elect Syst Engn, Ansan 426791, South Korea

来源：

2015 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) | 2015年

关键词：

ARMA model; EAR model; biomedical signal;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a technique for parametric modeling of biomedical signals, which is based on the autoregressive moving-average (ARMA) model. the ARMA model proposed in this paper is derived from the equivalent AR (EAR) model contributed to the equivalent relation between an infinite-order AR model and a finiteorder ARMA model. And then, the recursive method for determining the finite-order parameters of ARMA model from the EAR model is proposed.

引用

页码：456 / 457

页数：2

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