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Mixed H2/H∞ filtering for uncertain systems with regional pole assignment [PDF]
, 2005 Copyright [2005] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z +4 more
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SPATIO-TEMPORAL DATA ANALYSIS WITH NON-LINEAR FILTERS: BRAIN MAPPING WITH fMRI DATA
Image Analysis and Stereology, 2011 Spatio-temporal digital data from fMRI (functional Magnetic Resonance Imaging) are used to analyse and to model brain activation. To map brain functions, a well-defined sensory activation is offered to a test person and the hemodynamic response to ...
Karsten Rodenacker +3 more
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IET Control Theory & Applications, 2021 This paper addresses the problem of H∞ filtering for non‐linear systems with time‐varying delay via the interval type‐2 (IT2) fuzzy model and the membership‐function‐dependent approach.
Guangtao Ran, Chuanjiang Li
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A Probabilistic Perspective on Gaussian Filtering and Smoothing [PDF]
, 2010 15.07.13 KB. Ok to add report to Spiral.We present a general probabilistic perspective on Gaussian filtering and smoothing. This allows us to show that common approaches to Gaussian filtering/smoothing can be distinguished solely by their methods of ...
Deisenroth, MP, Ohlsson, H
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A General Framework for 3-D Parameters Estimation of Roads Using GPS, OSM and DEM Data
Sensors, 2017 A growing number of applications needs GIS mapping information and commercial 3-D roadmaps especially. This paper presents a solution of accessing freely to 3-D map information and updating in the context of transport applications.
Christophe Boucher, Jean-Charles Noyer
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IET Control Theory & Applications, 2022 A robust three stage Kalman filtering problem is investigated in this article for non‐linear systems with stochastic non‐linearities, random faults and intermittent missing measurements. Therefore, a more general system model is governed in which unknown
Zahra Nejati +2 more
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ENHANCED NON-LINEAR FILTERING SCHEME FOR EDGE DETECTION [PDF]
Journal of Engineering Science and Technology, 2018 Edge detection plays an important role in image processing. Edge detectors have always been a compromising between information and noise. Since edge detection is a derivative operation, it tends to amplify noise.
HAIDER O. LAWEND +2 more
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Adaptive filter with Riemannian manifold constraint
Scientific Reports, 2023 The adaptive filtering theory has been extensively developed, and most of the proposed algorithms work under the assumption of Euclidean space. However, in many applications, the data to be processed comes from a non-linear manifold.
Jose Mejia +3 more
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Forecasting Nonlinear Systems with LSTM: Analysis and Comparison with EKF
Sensors, 2021 Certain difficulties in path forecasting and filtering problems are based in the initial hypothesis of estimation and filtering techniques. Common hypotheses include that the system can be modeled as linear, Markovian, Gaussian, or all at one time ...
Juan Pedro Llerena Caña +2 more
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Multilevel particle filters for the non-linear filtering problem in continuous time [PDF]
Statistics and Computing, 2020 In the following article we consider the numerical approximation of the non-linear filter in continuous-time, where the observations and signal follow diffusion processes. Given access to high-frequency, but discrete-time observations, we resort to a first order time discretization of the non-linear filter, followed by an Euler discretization of the ...
Ajay Jasra, Fangyuan Yu, Jeremy Heng
openaire +3 more sources