Results 241 to 250 of about 809,797 (292)
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IFAC Proceedings Volumes, 1990
Abstract An adaptive algorithm for estimating the input to a linear system is presented. This explicite self-tuning filter is based on the identification of an innovations model. From that model, input and measurement noise descriptions are decomposed. Identifiability results guarantee a unique decomposition.
A. Ahlén, M. Sternad
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Abstract An adaptive algorithm for estimating the input to a linear system is presented. This explicite self-tuning filter is based on the identification of an innovations model. From that model, input and measurement noise descriptions are decomposed. Identifiability results guarantee a unique decomposition.
A. Ahlén, M. Sternad
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SIMPLIFIED ADAPTIVE ESTIMATION
IFAC Proceedings Volumes, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yaesh, I., Shaked, U.
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Adaptive spectral doppler estimation
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2009In this paper, 2 adaptive spectral estimation techniques are analyzed for spectral Doppler ultrasound. The purpose is to minimize the observation window needed to estimate the spectrogram to provide a better temporal resolution and gain more flexibility when designing the data acquisition sequence.
Fredrik, Gran +2 more
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Adaptive Multiscale Permeability Estimation
Computational Geosciences, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Grimstad, Alv-Arne +3 more
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Theory of Probability & Its Applications, 1993
See the review in Zbl 0761.62115; and for part I see ibid. 36, No. 4, 645-659 (1991; Zbl 0738.62045).
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See the review in Zbl 0761.62115; and for part I see ibid. 36, No. 4, 645-659 (1991; Zbl 0738.62045).
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Fast Adaptive Condition Estimation
SIAM Journal on Matrix Analysis and Applications, 1992The authors present a fast and robust adaptive estimator for the spectral condition number of \(n\) by \(n\) symmetric positive definite matrices \(A_ t\) evolving in time according to rank-one symmetric updates \(A_{t+1}=A_ t+U_ t\) which are performed by updating the Cholesky factor \(R_ t\) or its inverse \(R_ t^{-1}\).
Pierce, Daniel J., Plemmons, Robert J.
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