Results 251 to 260 of about 646,449 (284)

Predistorted Distributed Active Filters

28th European Microwave Conference, 1998, 1998
This paper outlines a novel and systematic method for designing active microwave filters in Microwave Integrated Circuits (MICs) technology. The technique is based on predistortion of the filter transfer function by appropriate loss or gain factor, enabling the designer to realize all his filter specifications without resorting to circuit optimization ...
C.U. Ndujiuba, A Khanifar
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Compressive distributed adaptive filtering

2016 35th Chinese Control Conference (CCC), 2016
The paper proposes a class of compressive distributed adaptive filtering algorithms, aiming to estimate unknown high-dimensional and sparse parameters in sensor networks, based on compressive sensing (CS) method. The algorithms first use compression estimation to obtain the compressed unknown parameters, then apply decompression algorithms to obtain ...
Siyu Xie, Lei Guo
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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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Optimal multiresolutional distribution filtering

[1992] Proceedings of the 31st IEEE Conference on Decision and Control, 2005
An optimal multiresolutional distributed filtering algorithm is derived. The wavelet transforms are utilized as a bridge linking different resolution levels. The algorithm can be used for dynamic multiresolutional sensor/data fusion. >
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Proposed Distributed Kalman Filter

2012
In this chapter, the DKF problem is addressed by reducing it into a dynamic consensus problem in term of weighted average estimates matrix that can be viewed as data fusion problem. We have presented a Distributed Kalman Filter based on polynomial filter to accelerate the distributed average consensus in the static network topologies.
Ahmed Abdelgawad, Magdy Bayoumi
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Advanced distributed filtering

2021
Magdi S. Mahmoud, Yuanqing Xia
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Distributed non-fragile set-membership filtering for nonlinear systems under fading channels and bias injection attacks

International Journal of Systems Science, 2021
Lifeng Ma
exaly  

Distributed filtering

International Journal of Systems Science, 1992
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Distributed Kalman filter

2023
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Optimal distributed Kalman filter

Nonlinear Analysis, 2001
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