Results 21 to 30 of about 610,066 (291)
Bearing Fault Signal Analysis Based on an Adaptive Multiscale Combined Morphological Filter
International Journal of Rotating Machinery, 2020 Bearing fault signal analysis is an important means of bearing fault diagnosis. To effectively eliminate noise in a fault signal, an adaptive multiscale combined morphological filter is proposed based on the theory of mathematical morphology.
Chun Lv +4 more
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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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Active control of vibrant actuators with adaptive adjustment of the reference [PDF]
, 1999 An improved adaptive filter for eliminating periodic vibrations of unknown frequency in rotary machinery is presented. The proposed canceller is based on a usual bank of digital adaptive notch filters, each filter tuned in the cancellation of one ...
Bertran Albertí, Eduardo +1 more
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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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Entropy based adaptive particle filter [PDF]
, 2006 We propose a particle filter for the estimation of a partially observed Markov chain that has a non dynamic component. Such systems arise when we include unknown parameters or when we decompose non ergodic systems to their ergodic classes.
Liverani, S, Papavasiliou, A
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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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