The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
백색 잡음에서 다중 복소 정현파를 추출하기 위해 저자가 이전에 제시한 단일 정현파 추정기의 시스템 잡음을 포함하는 확장되고 개선된 버전으로 비선형 다중 복소 정현파 추정기(NMSE)가 제안되었습니다. 이 추정기는 확장된 복소 칼만 필터(ECKF)를 상태 표현을 사용하는 잡음이 있는 다중 복소 정현파 모델에 적용하여 파생되며, 여기서 모델은 비선형 확률 시스템이 됩니다. 상태공간 신호 모델의 구조와 Lyapunov 기술을 사용하여 안정성을 증명합니다. 또한 컴퓨터 시뮬레이션은 다양한 관점에서 NMSE의 효율성을 보여줍니다.
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부
Kiyoshi NISHIYAMA, "A Nonlinear Multiple Complex Sinusoidal Estimator" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 3, pp. 497-506, March 2000, doi: .
Abstract: A nonlinear multiple complex sinusoidal estimator (NMSE) is proposed, as an extended and improved version with system noise of the single sinusoidal estimator previously presented by the author, for extracting multiple complex sinusoids in white noise. This estimator is derived by applying an extended complex Kalman filter (ECKF) to a noisy multiple complex sinusoidal model with state-representation, where the model becomes a nonlinear stochastic system. Proof of the stability is given by using a structure of the state-space signal model and Lyapunov techniques. Also, computer simulations demonstrate the effectiveness of the NMSE from various points of view.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_3_497/_p
부
@ARTICLE{e83-a_3_497,
author={Kiyoshi NISHIYAMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Nonlinear Multiple Complex Sinusoidal Estimator},
year={2000},
volume={E83-A},
number={3},
pages={497-506},
abstract={A nonlinear multiple complex sinusoidal estimator (NMSE) is proposed, as an extended and improved version with system noise of the single sinusoidal estimator previously presented by the author, for extracting multiple complex sinusoids in white noise. This estimator is derived by applying an extended complex Kalman filter (ECKF) to a noisy multiple complex sinusoidal model with state-representation, where the model becomes a nonlinear stochastic system. Proof of the stability is given by using a structure of the state-space signal model and Lyapunov techniques. Also, computer simulations demonstrate the effectiveness of the NMSE from various points of view.},
keywords={},
doi={},
ISSN={},
month={March},}
부
TY - JOUR
TI - A Nonlinear Multiple Complex Sinusoidal Estimator
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 497
EP - 506
AU - Kiyoshi NISHIYAMA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2000
AB - A nonlinear multiple complex sinusoidal estimator (NMSE) is proposed, as an extended and improved version with system noise of the single sinusoidal estimator previously presented by the author, for extracting multiple complex sinusoids in white noise. This estimator is derived by applying an extended complex Kalman filter (ECKF) to a noisy multiple complex sinusoidal model with state-representation, where the model becomes a nonlinear stochastic system. Proof of the stability is given by using a structure of the state-space signal model and Lyapunov techniques. Also, computer simulations demonstrate the effectiveness of the NMSE from various points of view.
ER -