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Convergence analysis of cubature Kalman filter
2014 European Control Conference (ECC), 2014This paper investigates the stability analysis of cubature Kalman filter (CKF) for nonlinear systems with linear measurement. The certain conditions to ensure that the estimation error of CKF remains bounded are proved. Then, the effect of process noise covariance is investigated and an adaptive process noise covariance is proposed to deal with large ...
Zarei, Jafar +2 more
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Normalization and convergence of adaptive IIR filters
IEEE International Conference on Acoustics Speech and Signal Processing, 1993Several algorithms for adaptive IIR (infinite impulse response) filters have been proposed. However, their practical use involves considerations such as finding the global minimum, the possible occurrence of instability, and uncertainty about the speed of convergence. A generalization of these adaptive IIR algorithms is presented here.
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Convergence results for the particle PHD filter
IEEE Transactions on Signal Processing, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel Edward Clark, Judith Bell
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Convergence Properties of the Kalman Inverse Filter
Journal of Dynamic Systems, Measurement, and Control, 2017The Kalman filter has a long history of use in input deconvolution where it is desired to estimate structured inputs or disturbances to a plant from noisy output measurements. However, little attention has been given to the convergence properties of the deconvolved signal, in particular the conditions needed to estimate inputs and disturbances with ...
Petschel, B. S. +2 more
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On the convergence and roots of order-statistics filters
IEEE Transactions on Signal Processing, 1995We propose a comprehensive theory of the convergence and characterization of roots of order-statistics filters. Conditions for the convergence of iterations of order-statistics filters are proposed. Criteria for the morphological characterization of roots of order-statistics filters are also proposed. >
Mohammed Charif-Chefchaouni +1 more
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2012
We give a necessary combinatorial condition on a filter F to admit an injective F-convergent sequence in $βω$. We also show that no analytic filter F admits an injective F-convergent sequence in $βω$. This answers a question of T. Banakh, V. Mychaylyuk and L. Zdomskyy.
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We give a necessary combinatorial condition on a filter F to admit an injective F-convergent sequence in $βω$. We also show that no analytic filter F admits an injective F-convergent sequence in $βω$. This answers a question of T. Banakh, V. Mychaylyuk and L. Zdomskyy.
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Convergence results in distributed Kalman filtering
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In particular, it is shown that, in a weakly connected communication network, there exist (randomized) gossip based information dissemination schemes leading to a stochastically bounded ...
Soummya Kar +3 more
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Dominated convergence and Egorov theorems for filter convergence
2007Summary: We study the filters, such that for convergence with respect to this filters the Lebesgue dominated convergence theorem and the Egorov theorem on almost uniform convergence are valid (the Lebesgue filters and the Egorov filters, respectively). Some characterizations of the Egorov and the Lebesgue filters are given.
Kadets, V., Leonov, A.
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Comparison of the Convergence of Two Algorithms for Adaptive FIR Digital Filters
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981T Claasen
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Breast Cancer Statistics, 2015: Convergence of Incidence Rates Between Black and White Women
Ca-A Cancer Journal for Clinicians, 2016Ahmedin Jemal +2 more
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