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Set-Membership Adaptive Filtering
2003Based on a bounded-error assumption, set-membership adaptive filtering (SMAF) offers a viable alternative to traditional adaptive filtering techniques that are aimed to minimize an ensemble (or a time) average of the errors. This chapter presents an overview of the principles of SMAF, its features, and some applications. Highlighting the novel features
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Fuzzy sets and membership functions
Fuzzy Sets and Systems, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Set-membership binormalized data-reusing LMS algorithms
IEEE Transactions on Signal Processing, 2003This paper presents and analyzes novel data selective normalized adaptive filtering algorithms with two data reuses. The algorithms [the set-membership binormalized LMS (SM-BN-DRLMS) algorithms] are derived using the concept of set-membership filtering (SMF).
P.S.R. Diniz, S. Werner
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Set-Membership Adaptive Filtering
2019The families of adaptive filtering algorithms introduced so far present a trade-off between the speed of convergence and the misadjustment after the transient. These characteristics are easily observable in stationary environments. In general fast-converging algorithms tend to be very dynamic, a feature not necessarily advantageous after convergence in
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Set membership prediction of nonlinear time series
Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2002A nonlinear prediction method based on a set membership approach is proposed. Such method does not need any assumption about the functional form of the model used for prediction, but uses only some information on its regularity. On the contrary, most of the existing prediction methods need the choice of a model structure and this choice is usually the ...
MILANESE, Mario, NOVARA, Carlo
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XOR-Satisfiability Set Membership Filters
2018Set membership filters are used as a primary test for whether large sets contain given elements. The most common such filter is the Bloom filter [6]. Most pertinent to this article is the recently introduced Satisfiability (SAT) filter [31]. This article proposes the XOR-Satisfiability filter, a variant of the SAT filter based on random k-XORSAT ...
Sean A. Weaver +2 more
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Set-membership methodology for model-based prognosis
ISA Transactions, 2017This paper addresses model-based prognosis to predict Remaining Useful Life (RUL) of a class of dynamical systems. The methodology is based on singular perturbed techniques to take into account the slow behavior of degradations. The full-order system is firstly decoupled into slow and fast subsystems.
Yousfi, Basma +3 more
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Membership modification and level sets
Soft Computing, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Probabilistic Set-Membership Approach for Robust Regression
Journal of Statistical Theory and Practice, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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