Results 91 to 100 of about 11,537 (265)

Particle filters for combined state and parameter estimation.

open access: yes, 2001
Filtering is a method of estimating the conditional probability distribution of a signal based upon a noisy, partial, corrupted sequence of observations of the signal.
Chan, Hubert, Kouritzin, Michael
core   +1 more source

Inverse Particle Filter

open access: yesIEEE Transactions on Signal Processing
In cognitive systems, recent emphasis has been placed on studying the cognitive processes of the subject whose behavior was the primary focus of the system's cognitive response. This approach, known as inverse cognition, arises in counter-adversarial applications and has motivated the development of inverse Bayesian filters.
Himali Singh   +2 more
openaire   +2 more sources

The neural particle filter

open access: yes, 2015
The robust estimation of dynamically changing features, such as the position of prey, is one of the hallmarks of perception. On an abstract, algorithmic level, nonlinear Bayesian filtering, i.e. the estimation of temporally changing signals based on the history of observations, provides a mathematical framework for dynamic perception in real time ...
Kutschireiter, Anna   +3 more
openaire   +2 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei   +3 more
wiley   +1 more source

Multivariable feedback particle filter [PDF]

open access: yes2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012
In recent work it is shown that importance sampling can be avoided in the particle filter through an innovation structure inspired by traditional nonlinear filtering combined with Mean-Field Game formalisms. The resulting feedback particle filter (FPF) offers significant variance improvements; in particular, the algorithm can be applied to systems that
Tao Yang 0017   +3 more
openaire   +3 more sources

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

Exact particle flow Daum-Huang filters for mobile robot localization in occupancy grid maps

open access: yesComplex & Intelligent Systems
In this paper, we present a novel localization algorithm for mobile robots navigating in complex planar environments, a critical capability for various real-world applications such as autonomous driving, robotic assistance, and industrial automation ...
Domonkos Csuzdi   +3 more
doaj   +1 more source

Continuous location and direction estimation with multiple sensors using particle filtering

open access: yes, 2006
In this paper we discuss the use of Particle Filtering to estimate the values of several state variables describing a user’s context. Since Particle Filtering algorithms are computationally efficient realizations of Bayesian Filters they perform ...
Kai Wendlandt   +7 more
core   +1 more source

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

open access: yesFEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik   +6 more
wiley   +1 more source

Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks

open access: yesIEEE Access, 2018
Camera node perception capability is one of the crucial issues for visual sensor networks, which belongs to the field of Internet of Things. Multi-object tracking is an important feature in analyzing object trajectories across multiple cameras, thus ...
Xiaoyan Jiang   +7 more
doaj   +1 more source

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