Investigation of a Method of Speech Signal Analysis Using Empirical Mode Decomposition and Its Applications [PDF]
, 2010 In recent years, a number of noise reduction methods based on empirical mode decomposition (EMD) have been proposed in the field of speech signal processing.
Unoki, Masashi, Sawaguchi, Tomoki
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Performance evaluation of ensemble empirical mode decomposition [PDF]
, 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.
Brady, JM +3 more
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A Minimum Arclength Method for Removing Spikes in Empirical Mode Decomposition
IEEE Access, 2019 Empirical mode decomposition (EMD) is an extensively utilized tool in a time-frequency analysis. However, disturbances, such as impulse noise, can result in a mode-splitting effect, in which one physically meaningful component is split into two or more ...
Hui-Wen Yang +6 more
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Optimizing Approach for Sifting Process to Solve a Common Type of Empirical Mode Decomposition Mode Mixing [PDF]
, 2017 Empirical mode decomposition (EMD), a new data-driven of time-series decomposition, has the advantage of supposing that a time series is non-linear or non-stationary, as is implicitly achieved in Fourier decomposition.
Karema Al-Subari +3 more
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MathematicsCrude oil is a raw and natural, but nonrenewable, resource. It is one of the world’s most important commodities, and its price can have ripple effects throughout the broader economy.
Linya Huang +4 more
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Output-Only Modal Analysis Based on Improved Empirical Mode Decomposition Method
Advances in Materials Science and Engineering, 2015 The output-only modal analysis for bridge structures based on improved empirical mode decomposition (EMD) is investigated in this study. First, a bandwidth restricted EMD is proposed for decomposing nonstationary output measurements with close frequency ...
Shiqiang Qin, Qiuping Wang, Juntao Kang
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EMD Empirical Mode Decomposition
The study addresses the critical task of distinguishing UAVs from birds using mmWave MIMO radar under conditions where optical sensing is unreliable . Micro-Doppler signatures generated by wing flapping and propeller rotation provide discriminative phase information in complex I/Q radar signals .
openaire +1 more source
NIRS-based classification of clench force and speed motor imagery with the use of empirical mode decomposition for BCI [PDF]
, 2015 Near-infrared spectroscopy (NIRS) is a non-invasive optical technique used for brain-computer interface (BCI). This study aims to investigate the brain hemodynamic responses of clench force and speed motor imagery and extract task-relevant features to ...
Yin XX(尹旭贤) +6 more
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Signal Analysis of Impact Test Due to Tidal Bore Using Empirical Mode Decomposition (EMD) [PDF]
, 2011 Tidal bore is a series of waves propagating upstream as the tidal flow turns to rising. The Qiantang Bore has aroused the curiosity of scientists and tourists all over the world in the past centuries as a strong turbulent bore.
Ying Li, Dong Zi Pan, Hai Qian Han
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Quantification of Dynamic Properties of Pile Using Ensemble Empirical Mode Decomposition
Advances in Civil Engineering, 2018 This paper investigated dynamical interactions between pile and frozen ground by using the ensemble empirical mode decomposition (EEMD) method. Unlike the conventional empirical mode decomposition (EMD) method, EEMD is found to be able to separate the ...
Feng Xiao +3 more
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