Results 31 to 40 of about 196,483 (296)

An improved genetic algorithm for optimizing ensemble empirical mode decomposition method

Systems Science & Control Engineering, 2019
This paper proposes an improved ensemble empirical mode decomposition method based on genetic algorithm to solve the mode mixing problem in empirical mode decomposition (EMD) algorithm as well as the parameters selection issue in ensemble empirical mode ...
Dabin Zhang, Chaomin Cai, Shanying Chen, Liwen Ling   +3 more
doaj   +1 more source

Codage des signaux par EMD [PDF]

, 2012
In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs).
BOUDRAA, Abdel-Ouahab, KHALDI, Kais
core   +4 more sources

Automatic Interference Term Retrieval From Spectral Domain Low-Coherence Interferometry Using the EEMD-EMD-Based Method

IEEE Photonics Journal, 2016
Low-coherence interferometry (LCI) has proved to be a useful tool in optical measurement and detection. However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult.
Hongxia Zhang, Feng Wang, Dagong Jia, Tiegen Liu, Yimo Zhang   +4 more
doaj   +1 more source

Time-frequency representation of earthquake accelerograms and inelastic structural response records using the adaptive chirplet decomposition and empirical mode decomposition [PDF]

, 2007
In this paper, the adaptive chirplet decomposition combined with the Wigner-Ville transform and the empirical mode decomposition combined with the Hilbert transform are employed to process various non-stationary signals (strong ground motions and ...
A. Giaralis, Baraniuk, Boashash, Boashash, Burrus, Chen, Cohen, Flandrin, Gabor, Huang, Huang, Kijewski-Correa, Loh, Mallat, Mallat, Mann, N.P. Politis, Ohtori, Olhede, P.D. Spanos, Qian, Qian, Spanos, Spencer, Wang, Xu, Yan, Yang, Yin, Zhang, Zhang, Zhang   +31 more
core   +1 more source

Graph Empirical Mode Decomposition

, 2014
Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
Borgnat, Pierre, Flandrin, Patrick, Tremblay, Nicolas   +2 more
openaire   +1 more source

Sparse Reconstruction for Enhancement of the Empirical Mode Decomposition-Based Signal Denoising

IEEE Access, 2020
Effective signal denoising methods are essential for science and engineering. In general, denoising algorithms may be either linear or non-linear. Most of the linear ones are unable to remove the noise from the real-world measurements.
Krzysztof Brzostowski
doaj   +1 more source

Enhanced monopulse radar tracking using empirical mode decomposition [PDF]

, 2010
Monopulse radar processors are used to track targets that appear in the look direction beamwidth. The target tracking information (range, azimuth angle, and elevation angle) are affected when manmade high power interference (jamming) is introduced to the
Elgamel, Sherif A.E.H., Soraghan, J.J.
core  

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Signature extraction from the dynamic responses of a bridge subjected to a moving vehicle using complete ensemble empirical mode decomposition

Journal of Low Frequency Noise, Vibration and Active Control, 2021
Technology that measures bridge responses when a vehicle is crossing over it for structural health monitoring has been under development for approximately a decade.
Feng Xiao, Gang S Chen, Wael Zatar, J Leroy Hulsey   +3 more
doaj   +1 more source

Modified detrended fluctuation analysis based on empirical mode decomposition

, 2009
Detrended fluctuation analysis (DFA) is a simple but very efficient method for investigating the power-law long-term correlations of non-stationary time series, in which a detrending step is necessary to obtain the local fluctuations at different ...
Alessio, Alvarez-Ramirez, Arrault, Bashan, Carbone, Carbone, Chen, Chen, Chianca, Decoster, Du, Flandrin, Flandrin, Gao-Feng Gu, Gu, Gu, Gu, Halsey, Heneghan, Hu, Huang, Jiang, Jiang, Jiang, Jiang, Jánosi, Kantelhardt, Kantelhardt, Mandelbrot, Mantegna, Meneveau, Montanari, Norouzzadeh, Novikov, Peng, Podobnik, Podobnik, Podobnik, Schertzer, Schertzer, Simonsen, Talkner, Taqqu, Wang, Wei, Wei, Wei-Xing Zhou, Wu, Xi-Yuan Qian, Yeh, Yuan, Yuan, Zhou, Zhou   +53 more
core   +1 more source