Results 41 to 50 of about 39,931 (297)

Local ensemble transform Kalman filter, a fast non-stationary control law for adaptive optics on ELTs: theoretical aspects and first simulation results [PDF]

open access: yes, 2014
We propose a new algorithm for an adaptive optics system control law, based on the Linear Quadratic Gaussian approach and a Kalman Filter adaptation with localizations.
Bertino, Laurent   +6 more
core   +5 more sources

Flexible Dielectric Acoustic Resonator Patch for Tissue Regeneration

open access: yesAdvanced Materials, EarlyView.
A flexible dielectric acoustic resonator patch enables MHz‐range ultrasound generation through resonance amplification without using piezoelectric materials. Conformal integration on a curved substrate allows efficient acoustic delivery to tissue‐mimicking environments.
Donyoung Kang   +7 more
wiley   +1 more source

Target tracking enhancement using a Kalman filter in the presence of interference [PDF]

open access: yes, 2009
In this paper we present a new target tracking enhancement system that uses a Kalman filter in the presence of interference. If the radar (seeker) is affected by different types of interference, this will affect the missile trajectory towards the target ...
Elgamel, S.A.E.H., Soraghan, J.J.
core   +1 more source

Bioinspired Adaptive Leg‐Claw Enables Robust Perching and Grasping for UAVs

open access: yesAdvanced Science, EarlyView.
Inspired by owl limb morphology and bat roosting behavior, this study presents a bioinspired adaptive leg‐claw mechanism that enables UAVs to perform robust and versatile perching and grasping. The design integrates a four‐link tibial structure, tension‐driven deformable feet, and active control, enabling stable perching on various branches and ...
Tianyu Cheng   +6 more
wiley   +1 more source

Tracking moving optima using Kalman-based predictions [PDF]

open access: yes, 2008
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness landscape.
Abderrahim, Mohamed   +2 more
core   +5 more sources

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

open access: yesAdvanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang   +9 more
wiley   +1 more source

A Kalman Filter for Multilinear Forms and Its Connection with Tensorial Adaptive Filters

open access: yesSensors, 2021
The Kalman filter represents a very popular signal processing tool, with a wide range of applications within many fields. Following a Bayesian framework, the Kalman filter recursively provides an optimal estimate of a set of unknown variables based on a ...
Laura-Maria Dogariu   +5 more
doaj   +1 more source

Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter [PDF]

open access: yesComputational Statistics & Data Analysis, 2015
Research paper: 30 pages, 10 ...
Mbalawata, Isambi S.   +4 more
openaire   +6 more sources

Nonlinear stability of the ensemble Kalman filter with adaptive covariance inflation [PDF]

open access: yes, 2015
The Ensemble Kalman filter and Ensemble square root filters are data assimilation methods used to combine high dimensional nonlinear models with observed data.
Kelly, David   +2 more
core  

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

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