Results 21 to 30 of about 5,352,065 (277)

Multivariate Empirical Mode Decomposition for Quantifying Multivariate Phase Synchronization [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2011
Quantifying the phase synchrony between signals is important in many different applications, including the study of the chaotic oscillators in physics and the modeling of the joint dynamics between channels of brain activity recorded by electroencephalogram (EEG).
Ali Yener Mutlu, Selin Aviyente
doaj   +3 more sources

Speech Enhancement: A Multivariate Empirical Mode Decomposition Approach

open access: yes, 2013
0 ...
Solé-Casals, Jordi   +4 more
openaire   +5 more sources

Noise-assisted multivariate empirical mode decomposition for multichannel EMG signals. [PDF]

open access: yesBiomed Eng Online, 2017
Ensemble Empirical Mode Decomposition (EEMD) has been popularised for single-channel Electromyography (EMG) signal processing as it can effectively extract the temporal information of the EMG time series. However, few papers examine the temporal and spatial characteristics across multiple muscle groups in relation to multichannel EMG signals.The ...
Zhang Y   +7 more
europepmc   +4 more sources

Correction of blink artifacts using independent component analysis and empirical mode decomposition. [PDF]

open access: yes
Blink-related ocular activity is a major source of artifacts in electroencephalogram (EEG) data. Independent component analysis (ICA) is a well-known technique for the correction of such ocular artifacts, but one of the limitations of ICA is that the ICs
Bhattacharya, Joydeep, Lindsen, Job P.
core   +8 more sources

Baseline wander removal of electrocardiogram signals using multivariate empirical mode decomposition. [PDF]

open access: yesHealthc Technol Lett, 2015
A new method for removing the baseline wander (BW) noise based on multivariate empirical mode decomposition is presented. The proposed method is compared with recently introduced technique for BW removal using Hilbert vibration decomposition in terms of correlation coefficient criterion and signal‐to‐noise ratio.
Gupta P, Sharma KK, Joshi SD.
europepmc   +4 more sources

Multivariate empirical mode decomposition and application to multichannel filtering [PDF]

open access: yesSignal Processing, 2011
Empirical Mode Decomposition (EMD) is an emerging topic in signal processing research, applied in various practical fields due in particular to its data-driven filter bank properties. In this paper, a novel EMD approach called X-EMD (eXtended-EMD) is proposed, which allows for a straightforward decomposition of mono- and multivariate signals without ...
Fleureau, Julien   +4 more
openaire   +2 more sources

MEMD-Based Hybrid Modal Identification for High-Rise Structures with Multi-Sensor Vibration Measurements

open access: yesApplied Sciences, 2022
Although widely used in various fields due to its powerful capability of signal processing, empirical mode decomposition has to decompose signals separately, which limits its application for multivariate data such as the structural monitoring data ...
Mingfeng Huang   +3 more
doaj   +1 more source

Enhanced monopulse radar tracking using empirical mode decomposition [PDF]

open access: yes, 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   +3 more sources

Identifying quasi-periodic variability using multivariate empirical mode decomposition: a case of the tropical Pacific [PDF]

open access: yesWeather and Climate Dynamics, 2023
A variety of statistical tools have been used in climate science to gain a better understanding of the climate system's variability on various temporal and spatial scales. However, these tools are mostly linear, stationary, or both. In this study, we use
L. Boljka   +5 more
doaj   +1 more source

Accounting for nonstationarity in the condition monitoring of wind turbine gearboxes [PDF]

open access: yes, 2013
Increasing growth of wind turbine systems suggests a more systematic research around their design, operation and maintenance is needed. These systems operate under challenging enviromental conditions and failure of some of their parts, for the time being,
Antoniadou, Ifigeneia
core   +6 more sources

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