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\(\omega\)-filters of distributive lattices
2022Summary: The notion of \(\omega\)-filters is introduced in distributive lattices and their properties are studied. A set of equivalent conditions is derived for every maximal filter of a distributive lattice to become an \(\omega\)-filter which leads to a characterization of quasi-complemented lattices. Some sufficient conditions are derived for proper
Sambasiva Rao, Mukkamala +1 more
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Distributed information filtering using consensus filters
2009 American Control Conference, 2009In this paper we present a new information consensus filter for distributed dynamic-state estimation. Estimation is handled by the traditional information filter, while communication of measurements is handled by a consensus filter. First and second-order statistics of local estimates are discussed.
David W. Casbeer, Randy Beard
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Concurrency and Computation: Practice and Experience, 2005
AbstractA programming model called distributed filter processes for transparent filtering in distributed systems is presented. Filter processes are modeled as extensions to distributed processes. Messages can be captured transparently by intermediate filter processes.
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AbstractA programming model called distributed filter processes for transparent filtering in distributed systems is presented. Filter processes are modeled as extensions to distributed processes. Messages can be captured transparently by intermediate filter processes.
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Distribution system harmonic filter planning
IEEE Transactions on Power Delivery, 1996A planning methodology for distribution system harmonic filtering is proposed. The method is intended for use on radial distribution systems with no large harmonic sources. It is proposed that 60 hertz VAr planning be done first to allocate the VAr resources.
Thomas H. Ortmeyer, Takashi Hiyama
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Distributed Kalman Filtering Through Trace Proximity
IEEE Transactions on Automatic Control, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei Liu, Peng Shi, Shuoyu Wang
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Multiresolutional distributed filtering
IEEE Transactions on Automatic Control, 1994Summary: An algorithm for optimal and dynamic multiresolutional distributed filtering is derived. The wavelet transform is utilized as a bridge linking signals at different resolution levels. The algorithm can be employed for dynamic multisensor/data fusion.
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Studia Logica, 1984
A deductive system C (or sentential logic) on the algebra S of formulas is filter distributive if the lattice of C-filters of A is distributive for all algebras A similar to S. (F is a C-filter of A if (A,F) is a matrix validating C.) \(Th(C)=\{X\subseteq S /\) \(C(X)=X\}\).
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A deductive system C (or sentential logic) on the algebra S of formulas is filter distributive if the lattice of C-filters of A is distributive for all algebras A similar to S. (F is a C-filter of A if (A,F) is a matrix validating C.) \(Th(C)=\{X\subseteq S /\) \(C(X)=X\}\).
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Distributed Kalman Filter using fast polynomial filter
2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011Distributed estimation algorithms have received a lot of attention in the past few years, particularly in the fusion framework of Wireless Sensor Network (WSN). Distributed Kalman Filter (DKF) for WSN is one of the most fundamental distributed estimation algorithms for scalable wireless sensor fusion.
A. Abdelgawad, M. Bayoumi
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Absorptive Filter Prototype and Distributed-Element Absorptive Bandpass Filter
2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), 2018In this paper, we present a design methodology for absorptive bandpass filters. A filter prototype comprised of parallel resonators and admittance inverters has been developed. All design parameters in the filter prototype are given in terms of the center frequency, the bandwidth, the port impedance, and the normalized lumped-element lowpass filter ...
Seong-Wook Jeong +2 more
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2015
We have recently seen a surge of research focusing on the processing of graph data. The emerging field of signal processing on graphs focuses on the extension of classical discrete signal processing techniques to the graph setting. Arguably, the greatest breakthrough of the field has been the extension of the Fourier transform from time signals and ...
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We have recently seen a surge of research focusing on the processing of graph data. The emerging field of signal processing on graphs focuses on the extension of classical discrete signal processing techniques to the graph setting. Arguably, the greatest breakthrough of the field has been the extension of the Fourier transform from time signals and ...
openaire +2 more sources