A New Method for Parameter and Input Estimation of Nonminimum Phase Systems
Summary :
This paper presents a new method for estimating both the parameters of a nonminimum phase system and its unknown input signal. An approximate inverse system method is used to estimate the unknown input signal, and then, by using a Kalman filter, approximately consistent parameter estimates of the nonminimum phase system can be obtained effectively. This method can be used to estimate the parameters of a nonminimum phase system and a minimum phase one in the case when the input signal is a white noise or an impulse sequence.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E75-A No.11 pp.1570-1578
- Publication Date
- 1992/11/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
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Weimin SUN, Takashi YAHAGI, "A New Method for Parameter and Input Estimation of Nonminimum Phase Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E75-A, no. 11, pp. 1570-1578, November 1992, doi: .
Abstract: This paper presents a new method for estimating both the parameters of a nonminimum phase system and its unknown input signal. An approximate inverse system method is used to estimate the unknown input signal, and then, by using a Kalman filter, approximately consistent parameter estimates of the nonminimum phase system can be obtained effectively. This method can be used to estimate the parameters of a nonminimum phase system and a minimum phase one in the case when the input signal is a white noise or an impulse sequence.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e75-a_11_1570/_p
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@ARTICLE{e75-a_11_1570,
author={Weimin SUN, Takashi YAHAGI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A New Method for Parameter and Input Estimation of Nonminimum Phase Systems},
year={1992},
volume={E75-A},
number={11},
pages={1570-1578},
abstract={This paper presents a new method for estimating both the parameters of a nonminimum phase system and its unknown input signal. An approximate inverse system method is used to estimate the unknown input signal, and then, by using a Kalman filter, approximately consistent parameter estimates of the nonminimum phase system can be obtained effectively. This method can be used to estimate the parameters of a nonminimum phase system and a minimum phase one in the case when the input signal is a white noise or an impulse sequence.},
keywords={},
doi={},
ISSN={},
month={November},}
Copy
TY - JOUR
TI - A New Method for Parameter and Input Estimation of Nonminimum Phase Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1570
EP - 1578
AU - Weimin SUN
AU - Takashi YAHAGI
PY - 1992
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E75-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 1992
AB - This paper presents a new method for estimating both the parameters of a nonminimum phase system and its unknown input signal. An approximate inverse system method is used to estimate the unknown input signal, and then, by using a Kalman filter, approximately consistent parameter estimates of the nonminimum phase system can be obtained effectively. This method can be used to estimate the parameters of a nonminimum phase system and a minimum phase one in the case when the input signal is a white noise or an impulse sequence.
ER -
English
