Results 51 to 60 of about 4,786,449 (207)

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

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

Aging concomitantly reduces skeletal muscle proteome plasticity and hypertrophic responses to resistance training in male adults

Physiological Reports, Volume 14, Issue 19, October 2026.
We examined the vastus lateralis (VL) muscle proteomic signature in younger and older males before and after a 10–12‐week resistance training period. Despite similar training volumes between age groups, VL hypertrophy (determined via ultrasound) was dampened in older individuals, and this coincided with an attenuated proteome plasticity response.
Dustyn T. Lewis, J. Max Michel, Mason C. McIntosh, Dakota R. Tiede, Daniel L. Plotkin, Madison L. Mattingly, Nicholas J. Kontos, George Kontos Jr., Breanna J. Mueller, Samuel C. Norton, Joshua S. Godwin, Brad J. Schoenfeld, Melissa D. Boersma, Andrew D. Frugé, C. Brooks Mobley, Andreas N. Kavazis, Michael D. Roberts   +16 more
wiley   +1 more source

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  

Fire‐Atmosphere Coupling Starts Upwind: Selective Redistribution of Turbulence at the Fire‐Induced Rear Inflow

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 17, 16 September 2026.
Abstract Wildfires alter local atmospheric conditions, yet the spatial extent and frequency‐dependent characteristics of fire‐induced inflow perturbations remain largely unquantified. This study applies Multivariate Empirical Mode Decomposition (MEMD) to analyze high‐frequency horizontal wind speed data from a tower positioned at varying distances (∼80–
Gitesh Wasson, Marwan Katurji, Peyman Zawar‐Reza, Andres Valencia, Jiawei Zhang, Tara Strand, H. Grant Pearce, Jessica Kerr   +7 more
wiley   +1 more source

Complete Ensemble Empirical Mode Decomposition on FPGA for Condition Monitoring of Broken Bars in Induction Motors

Mathematics, 2019
Empirical mode decomposition (EMD)-based methods are powerful digital signal processing techniques because they do not need a priori information of the target signal due to their intrinsic adaptive behavior.
Martin Valtierra-Rodriguez, Juan Pablo Amezquita-Sanchez, Arturo Garcia-Perez, David Camarena-Martinez   +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

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.
D. Rouvre, D. Kouam, F. Tranquart, L. Pourcelot   +3 more
openaire   +1 more source

Research on Dynamic Characteristics of Electromechanical Coupling for the Ultra‐Compact Wind Turbines

Wind Energy, Volume 29, Issue 9, September 2026.
ABSTRACT With the development of ultra‐compact wind turbines, the electromechanical coupling dynamic characteristics of integrated gearbox‐generator systems in their drive trains have attracted increasing attention. To reveal these characteristics, an electromechanical coupling dynamic model is established using the lumped parameter method and the ...
Yin Runsheng, Zhang Xiaodong, Zhao Qin, Cui Yufan   +3 more
wiley   +1 more source

Wavelet‐Based Hurst Exponent Estimation

WIREs Computational Statistics, Volume 18, Issue 3, September 2026.
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa, Fabrizio Ruggeri, Brani Vidakovic   +2 more
wiley   +1 more source