Results 71 to 80 of about 5,122,568 (192)

Daily lake-level time series spectral analysis using EMD, VMD, EWT, and EFD

Journal of Water and Climate Change
This study investigates the dynamics of daily Urmia Lake level (ULL) changes using spectral analysis tools to discover fluctuating patterns in the ULL series.
Farhad Alizadeh, Kiyoumars Roushangar
doaj   +1 more source

PERFORMANCE EVALUATION OF ENSEMBLE EMPIRICAL MODE DECOMPOSITION

Advances in Adaptive Data Analysis, 2009
Empirical mode decomposition (EMD) is an adaptive, data-driven algorithm that decomposes any time series into its intrinsic modes of oscillation, which can then be used in the calculation of the instantaneous phase and frequency. Ensemble EMD (EEMD), where the final EMD is estimated by averaging numerous EMD runs with the addition of noise, was an ...
Rami K. Niazy, Christian F. Beckmann, J. Michael Brady, Stephen M. Smith 0001   +3 more
openaire   +3 more sources

Detrending And Denoising With Empirical Mode Decompositions

, 2004
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Patrick Flandrin, Paulo Gonçalves 0001, Gabriel Rilling   +2 more
openaire   +2 more sources

Intelligent Fault Diagnosis System using BEMD based Thermal Image Enhancement And Support Vector Machines [PDF]

This study proposes an investigation of a novel thermal image enhancement based on bi-dimensional empirical mode decomposition (BEMD) and applies this method for rotating machinery fault diagnosis system.
Tran, Van Tung
core   +3 more sources

Débruitage fréquentiel de signaux par EMD [PDF]

, 2013
Dans cet article, nous proposons un nouveau schéma de débruitage des signaux basé sur la décomposition modale empirique associée à une analyse fréquentielle.
DARE, Delphine, DARE-EMZIVAT, Delphine, BOUDRAA, Abdel-Ouahab, KOMATY, Ali   +3 more
core  

Integrated strategy for real-time wind power fluctuation mitigation and energy storage system control

Global Energy Interconnection
To address the impact of wind-power fluctuations on the stability of power systems, we propose a comprehensive approach that integrates multiple strategies and methods to enhance the efficiency and reliability of a system.
Yu Zhang, Yongkang Zhang, Tiezhou Wu
doaj   +1 more source

Optimal Signal Reconstruction Using the Empirical Mode Decomposition

EURASIP Journal on Advances in Signal Processing, 2008
The empirical mode decomposition (EMD) was recently proposed as a new time-frequency analysis tool for nonstationary and nonlinear signals. Although the EMD is able to find the intrinsic modes of a signal and is completely self-adaptive, it does not have
Kenneth E. Barner, Binwei Weng
doaj   +1 more source

Improving seismic signal classification of different ground activities with advanced AI and signal processing techniques

Discover Geoscience
This study presents a comparative framework for seismic signal classification based on adaptive decomposition and Hilbert spectral analysis. A self-recorded vibration dataset containing approximately 4,500 one-second segments of pedestrian, bicycle, and ...
Abdul Moiz, Mohsin Jadoon, Sohaib Ahmad, Arshad Iqbal, Muhammad Bilal Qureshi   +4 more
doaj   +1 more source

Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD

Shock and Vibration, 2016
An adaptive stochastic resonance and analytical mode decomposition-ensemble empirical mode decomposition (AMD-EEMD) method is proposed for fault diagnosis of rotating machinery in this paper.
Peiming Shi, Cuijiao Su, Dongying Han
doaj   +1 more source

Audio Encoding Based On The Empirical Mode Decomposition

, 2009
Publication in the conference proceedings of EUSIPCO, Glasgow, Scotland ...
Khaldi, Kais, Boudraa, Abdel-Ouahab, Turki, Monia, Chonavel, Thierry, Samaali, Imen   +4 more
openaire   +4 more sources