Results 51 to 60 of about 8,576 (212)

Multi Sensor Image Fusion using Empirical Mode Decomposition [PDF]

, 2013
Image fusion is a process of combining relevant information from two or more images from different sensors based on certain algorithm. Many algorithms have been proposed for pixel level image fusion.
Naidu, VPS, Shakthipriya, VS
core  

Empirical mode decomposition with missing values [PDF]

, 2016
This paper considers an improvement of empirical mode decomposition (EMD) in the presence of missing data. EMD has been widely used to decompose nonlinear and nonstationary signals into some components according to intrinsic frequency called intrinsic ...
오희석, Kim, Donghoh, Oh, Hee-Seok
core   +1 more source

Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition

Shock and Vibration, 2021
Vehicle platform vibration (VPV) directly affects the measurement accuracy of precise measuring instrument (PMI) fixed on it. In order to reduce the influences of VPV on measurement accuracy, it is necessary to perform vibration isolation between vehicle
Chengwu Shen, Zhiqian Wang, Chang Liu, Qinwen Li, Jianrong Li, Shaojin Liu   +5 more
doaj   +1 more source

Noise Reduction Based on a CEEMD-WPT Crack Acoustic Emission Dataset

Applied Sciences, 2023
In order to solve the noise reduction problem of acoustic emission signals with cracks, a method combining Complementary Ensemble Empirical Mode Decomposition (CEEMD) and wavelet packet (WPT) is proposed and named CEEMD-WPT. Firstly, the single Empirical
Yongfeng Zhao, Yunrui Ma, Junli Du, Chaohua Wang, Dawei Xia, Weifeng Xin, Zhenyu Zhan, Runfeng Zhang, Jiangyi Chen   +8 more
doaj   +1 more source

Bifunctional Electrocatalysts in Rechargeable Lithium‐Gas Batteries: Material Evolution and Mechanistic Insights from Metal‐Free Carbons to Carbon‐Supported Single‐Atom Sites

Small, EarlyView.
This review charts the material evolution of bifunctional electrocatalysts for rechargeable lithium‐gas batteries. It highlights the journey from heteroatom‐doped, metal‐free carbon architectures to precision‐engineered carbon‐supported single‐atom sites. The discussion focuses on mechanistic insights into how these catalysts govern reversible O2, CO2,
Daming Ren, Shuimei Chen, Yuzheng Wu, Xiaodan Huang, Jong Beom Baek, Ashok Kumar Nanjundan   +5 more
wiley   +1 more source

The empirical mode decomposition embedded detrended fluctuation analysis (EMD-DFA) technique. [PDF]

, 2013
The empirical mode decomposition embedded detrended fluctuation analysis (EMD-DFA) technique.
Jue Zhang (310408), Kun Hu (119408), Brad Manor (409046), Dongdong Liu (409047), Junhong Zhou (409045), Jing Fang (170284)   +5 more
core   +1 more source

Empirical mode decomposition (EMD) for multi-gate, multi-transducer ultrasound doppler fetal heart monitoring [PDF]

Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005., 2006
This paper presents a new technique called empirical mode decomposition (EMD) applied to a multi-gate, multitransducer ultrasound Doppler system used for fetal heart monitoring. We propose this system as an alternative to the existing fetal monitoring techniques.
Rouvre, Denis, Kouamé, Denis, Tranquart, François, Pourcelot, Léandre   +3 more
openaire   +2 more sources

Enriching historical biologging datasets on seabirds using deep neural networks: A transformer‐based approach to infer energy expenditure proxy from GPS and environmental data

Methods in Ecology and Evolution, EarlyView.
Abstract Recent advances in biologging have led to the widespread use of accelerometers, which generate high‐resolution movement data essential for understanding animal behaviour. Derived from tri‐axial accelerometry, Overall Dynamic Body Acceleration (ODBA) serves as a proxy for energy expenditure that is less invasive and more cost‐effective than ...
Noémie Muquet, Adrien Brunel, Christophe Barbraud, Leandro Bugoni, Karine Delord, Guilherme Tavares Nunes, Jean‐Daniel Zucker, Sophie Lanco   +7 more
wiley   +1 more source

Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid

Sensors
The electrical energy supply relies on the satisfactory operation of insulators. The ultrasound recorded from insulators in different conditions has a time series output, which can be used to classify faulty insulators.
Anne Carolina Rodrigues Klaar, Laio Oriel Seman, Viviana Cocco Mariani, Leandro dos Santos Coelho   +3 more
doaj   +1 more source

Empirical Mode Decomposition (EMD) for Platform Motion Compensation in Remote Life Sensing Radar [PDF]

, 2021
<p>Radar sensing of respiratory motion from unmanned aerial vehicles (UAVs) offers great promise for remote life sensing especially in post-disaster search and rescue applications. One major challenge for this technology is the management of motion artifacts from the moving UAV platform.
openaire   +1 more source