Performance study of iterative Bayesian filtering to develop an efficient calibration framework for DEM
Sign Up to like & getrecommendations! Published in 2022 at "Computers and Geotechnics"
DOI: 10.1016/j.compgeo.2021.104491
Abstract: Abstract This work presents an efficient probabilistic framework for the Bayesian calibration of micro-mechanical parameters for Discrete Element Method (DEM) modelling. Firstly, the superior behaviour of the iterative Bayesian filter over the sequential Monte Carlo… read more here.
Keywords: iterative bayesian; framework; performance study; dem ... See more keywords
Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception
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DOI: 10.1038/s41598-017-06519-y
Abstract: The robust estimation of dynamical hidden features, such as the position of prey, based on sensory inputs is one of the hallmarks of perception. This dynamical estimation can be rigorously formulated by nonlinear Bayesian filtering… read more here.
Keywords: neuronal dynamics; filtering learning; learning neuronal; nonlinear bayesian ... See more keywords
A Bayesian Filtering Approach for Tracking Arousal From Binary and Continuous Skin Conductance Features
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2019.2945579
Abstract: Objective: Neuroanatomical structures within the cortical and sub-cortical brain regions process emotion and cause subsequent variations in signals such as skin conductance and electrocardiography. The signals often encode information in their continuous-valued amplitudes or waves… read more here.
Keywords: approach; arousal binary; conductance; skin conductance ... See more keywords
Stochastic Modeling Based Nonlinear Bayesian Filtering for Photoplethysmography Denoising in Wearable Devices
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.2988097
Abstract: Photoplethysmography (PPG) has shown its great potential for noninvasive health monitoring, but its application in wearable devices is largely impeded due to its extreme vulnerability to motion artifacts. In this article, we proposed a new… read more here.
Keywords: based nonlinear; stochastic modeling; nonlinear bayesian; modeling based ... See more keywords
A Bayesian Filtering Approach to Multi-mode Separation and Retrieval of Ultrasonic Guided Waves.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on ultrasonics, ferroelectrics, and frequency control"
DOI: 10.1109/tuffc.2023.3271638
Abstract: In this paper, a Bayesian filtering approach to adaptively extracting the crossed time-frequency (TF) ridges of ultrasonic guided waves (GWs) and retrieving their overlapped modes is proposed. Based on the generalized non-parametric GW signal model,… read more here.
Keywords: filtering approach; ultrasonic guided; guided waves; bayesian filtering ... See more keywords
Bayesian filtering framework for noise characterization of frequency combs.
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DOI: 10.1364/oe.391165
Abstract: Amplitude and phase noise correlation matrices are of fundamental importance for studying noise properties of frequency combs. They include information about the origin of noise sources as well as the scaling and correlation of the… read more here.
Keywords: noise; phase noise; frequency; bayesian filtering ... See more keywords
This is the Way: Differential Bayesian Filtering for Agile Trajectory Synthesis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.48550/arxiv.2207.07587
Abstract: One of the main challenges in autonomous racing is to design algorithms for motion planning at high speed, and across complex racing courses. End-to-end trajectory synthesis has been previously proposed where the trajectory for the… read more here.
Keywords: differential bayesian; bayesian filtering; way differential; synthesis ... See more keywords