Results 21 to 30 of about 231,778 (314)
Adaptive ensemble Kalman filtering of non-linear systems
Tellus: Series A, Dynamic Meteorology and Oceanography, 2013 A necessary ingredient of an ensemble Kalman filter (EnKF) is covariance inflation, used to control filter divergence and compensate for model error. There is an on-going search for inflation tunings that can be learned adaptively.
Tyrus Berry, Timothy Sauer
doaj +1 more source
Stability of non-linear filter for deterministic dynamics
Foundations of Data Science, 2021 24 pages, 1 figure.
Reddy, Anugu Sumith, Apte, Amit
openaire +4 more sources
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
doaj +1 more source
Linear filtering with fractional Brownian motion in the signal and observation processes [PDF]
, 1999 Integral equations for the mean-square estimate are obtained for the linear filtering problem, in which the noise generating the signal is a fractional Brownian motion with Hurst index h∈(3/4,1) and the noise in the observation process includes a ...
Kloeden, Peter E. +2 more
core +1 more source
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
core +1 more source
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
doaj +1 more source
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
doaj
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
doaj +1 more source
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
doaj +1 more source
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