Results 271 to 280 of about 169,139 (307)

Distributed filter processes

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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Regular filters of distributive lattices

2023
Summary: The concepts of regular filters and \(\pi\)-filters are introduced in distributive lattices. A set of equivalent conditions is given for a \(D\)-filter to become a regular filter. For every \(D\)-filter, it is proved that there exists a homomorphism whose dense kernel is a regular filter.
Mukkamala, Sambasiva Rao, Ananthapatnayakuni, Phaneendra Kumar   +1 more
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Concentric distributed resonators and filters

2018 IEEE Radio and Wireless Symposium (RWS), 2018
In this paper we present a concentric, multiple resonant elements realization of a distributed filter. The proposed filter has 3 poles and is designed to operate at a frequency of 1.8 GHz with an absolute bandwidth of 40 MHz, equivalent to 2.22 %. Each resonant chamber of the presented filter consists of 25 individual resonant elements arranged in an ...
Senad Bulja, Efstratios Doumanis, Dmitry Kozlov   +2 more
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Multiresolutional distributed filtering

IEEE Transactions on Automatic Control, 1994
Summary: 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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Split-distributed resonators and filters

2019 IEEE Radio and Wireless Symposium (RWS), 2019
In this paper, an inline, 5-pole filter realized using split-distributed resonant elements is presented. The filter is made to operate at a frequency of 1.8 GHz, with an absolute bandwidth of 40 MHz. Each resonator of the proposed filter consists of 9 split-distributed resonant elements, placed in close proximity.
Senad Bulja, Dmitry Kozlov
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The Hypothesizing Distributed Kalman Filter

2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012
This paper deals with distributed information processing in sensor networks. We propose the Hypothesizing Distributed Kalman Filter that incorporates an assumption of the global measurement model into the distributed estimation process. The procedure is based on the Distributed Kalman Filter and inherits its optimality when the assumption about the ...
Reinhardt, M., Noack, B., Hanebeck, U. D.   +2 more
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Distributed Kalman Filter with Embedded Consensus Filters

Proceedings of the 44th IEEE Conference on Decision and Control, 2006
The problem of distributed Kalman filtering (DKF) for sensor networks is one of the most fundamental distributed estimation problems for scalable sensor fusion. This paper addresses the DKF problem by reducing it to two separate dynamic consensus problems in terms of weighted measurements and inverse-covariance matrices.
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On distributed space-time filtering

GLOBECOM '05. IEEE Global Telecommunications Conference, 2005., 2005
Distributed space-time filtering (DSTF) has been recently proposed as a means for node cooperation in wireless networks. In this paper, we derive a new optimization criterion for the node signature filter vectors (SFVs) used in DSTF and we provide two practical design methods for sets of SFVs.
Simon Yiu, Robert Schober
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Distributed Graph Filters

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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Distributed Kalman Filter using fast polynomial filter

2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011
Distributed 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.
Ahmed Abdelgawad 0001, Magdy A. Bayoumi
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