Results 21 to 30 of about 9,246 (254)

Image Deblurring in the Presence of Impulsive Noise [PDF]

open access: yesInternational Journal of Computer Vision, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leah Bar, Nahum Kiryati, Nir A. Sochen
openaire   +2 more sources

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

Diffusion Robust Variable Step-Size LMS Algorithm Over Distributed Networks

open access: yesIEEE Access, 2018
In this paper, we propose a novel diffusion robust variable step-size least mean square (DRVSS-LMS) algorithm that is insensitive to impulsive noise for distributed estimation in the network.
Wei Huang   +3 more
doaj   +1 more source

Correntropy-based DOA estimation algorithm under impulsive noise environments

open access: yesEURASIP Journal on Wireless Communications and Networking, 2020
In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic symmetric alpha-stable (SαS) random variables are modeled as impulsive noise, then a novel second-order ...
Jin Chen, Sheng Guan
doaj   +1 more source

Ultrafast Optoacoustics Reveals Intricate 3D Anisotropic Elasticity in Nanocrystalline Membranes

open access: yesAdvanced Science, EarlyView.
Ultrafast optoacoustic spectroscopy combined with a Sagnac interferometer enables non‐contact, simultaneous characterization of thickness and the full three‐dimensional anisotropic elastic constants in freestanding nanocrystalline copper membranes. By capturing gigahertz Lamb waves and zero‐group‐velocity resonances followed by SAFE‐GA inversion, the ...
Shuchang Zhang   +11 more
wiley   +1 more source

A TC-Based Multicomponent LFM Signal Characterization Method Under Impulsive Noise and Its Application

open access: yesIET Signal Processing
The burst-like and high-amplitude characteristics of impulsive noise, which markedly differ from those of Gaussian noise, render methods based on the Gaussian assumption unable to accurately characterize signals under impulsive noise.
Weiwei Shang, Yong Guo, Lidong Yang
doaj   +1 more source

Self‐Powered All‐in‐One Wearable Bioelectronics Driven by Pneumatic Energy Buffering of Daily Footsteps

open access: yesAdvanced Science, EarlyView.
A pneumatic energy‐buffering strategy transforms transient and intermittent footsteps into quasi‐continuous electrical energy for a self‐powered wearable biosensing platform. The footwear‐integrated air‐pumping harvester, combined with the rationally designed power‐management system, powers a wearable ankle PPG device with reduced motion artifacts ...
Ji‐Seok Kim   +8 more
wiley   +1 more source

An adaptive dynamically weighted median filter for impulse noise removal

open access: yesEURASIP Journal on Advances in Signal Processing, 2017
A new impulsive noise removal filter, adaptive dynamically weighted median filter (ADWMF), is proposed. A popular method for removing impulsive noise is a median filter whereas the weighted median filter and center weighted median filter were also ...
Sajid Khan, Dong-Ho Lee
doaj   +1 more source

Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors

open access: yesAIChE Journal, EarlyView.
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley   +1 more source

Receiver design of sparse Bayesian learning based MIMO-OFDM power line communication system

open access: yesDianxin kexue, 2022
The rich impulsive noise in the power line channel poses a huge challenge to the design of MIMO-OFDM transceiver.To solve this problem, a design scheme that can jointly estimate the channel and impulsive noise was proposed, which exploited the parametric
Xinrong LYU   +3 more
doaj   +2 more sources

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