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

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초록

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.

키워드

ARMA model; EAR model; biomedical signal
제목
Determining ARMA Model Parameters for Biomedical Signal Applications based on Estimation of the Equivalent AR Model
저자
Park, Junho; Lee, Geon; Choi, Youngjin
DOI
10.1109/URAI.2015.7358904
발행일
2015-08
유형
Proceedings Paper
저널명
2015 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI)
페이지
456 ~ 457