Results 21 to 30 of about 173,282 (309)
IET Radar, Sonar & Navigation, 2023 The existing adaptive Kalman filters for tracking manoeuvring targets by wireless sensor networks can easily lose robustness when both the measurement and process noises are unknown and time‐varying, resulting in large positioning errors.
Xuming Fang, Dandan Huang
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Ibn Al-Haitham Journal for Pure and Applied Sciences, 2020 There are many techniques for face recognition which compare the desired face image with a set of faces images stored in a database. Most of these techniques fail if faces images are exposed to high-density noise.
Nada Jasim Habeeb
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Adaptive Federated IMM Filter for AUV Integrated Navigation Systems
Sensors, 2020 High accuracy and reliable navigation in the underwater environment is very critical for the operations of autonomous underwater vehicles (AUVs). This paper proposes an adaptive federated interacting multiple model (IMM) filter, which combines adaptive ...
Weiwei Lyu +2 more
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Adaptive federated filter for multi-sensor nonlinear system with cross-correlated noises.
PLoS ONE, 2021 This paper presents an adaptive approach to the federated filter for multi-sensor nonlinear systems with cross-correlations between process noise and local measurement noise.
Lijun Wang, Sisi Wang, Wenzhi Yang
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Adaptive-FRESH Filtering [PDF]
, 2011 Adaptive filters are self-designing systems for information extraction which rely for their operation on a recursive algorithm (Haykin, 2001). They find application in environments where the optimum filter cannot be applied because of lack of knowledge about the signal characteristics and/or the data to be processed.
Ojeda, Omar A. Yeste, Grajal, Jesús
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Sensors, 2020 A motion artefact is a kind of noise that exists widely in wearable electrocardiogram (ECG) monitoring. Reducing motion artefact is challenging in ECG signal preprocessing because the spectrum of motion artefact usually overlaps with the very important ...
Xiang An, George K. Stylios
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Two Stage Kalman Estimators with Probabilistically Weighted Average [PDF]
Engineering and Technology Journal, 2009 With spherical coordinate, the adaptive estimation using multiple model filtering isenhanced in this paper. The enhancement is achieved by using just two depended parallelKalman filters, instead of multiple models, with the probabilistically weighted ...
Hanady Abbas Jaber
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IEEE Access, 2022 The three-phase DSTATCOM is prone to higher dynamics due to grid disturbances. The proportionate affine projection algorithm (PAPA) is an adaptive filter that can be used for DSTATCOM control.
Arobinda Dash +5 more
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A Zero-Velocity Update Method for Adaptive Particle Filtering
Xibei Gongye Daxue Xuebao, 2020 Aiming at the low precision of Kalman filter in dealing with non-linear and non-Gaussian models and the serious particle degradation in standard particle filter, a zero-velocity correction algorithm of adaptive particle filter is proposed in this paper ...
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Recursive Optimal Finite Impulse Response Filter and Its Application to Adaptive Estimation
Applied Sciences, 2022 In this paper, the recursive form of an optimal finite impulse response filter is proposed for discrete time-varying state-space models. The recursive form of the finite impulse response filter is derived by employing finite horizon Kalman filtering with
Bokyu Kwon, Sang-il Kim
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