EMD-Based Filtering Using Similarity Measure Between Probability Density Functions of IMFs [PDF]
, 2014 This paper introduces a new signal-filtering which combines the empirical mode decomposition (EMD) and a similarity measure. A noisy signal is adaptively broken down into oscillatory components called intrinsic mode functions (IMFs) by EMD followed by an
DARE, Delphine +4 more
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, 2023 In off-axis quantitative phase imaging, existing methods of suppressing the zero-frequency component (ZFC) always cause the loss of high-frequency phase information, thus degrading the accuracy of phase reconstruction.
Yi Ding (172783) +3 more
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Energy of intrinsic mode function for gas-liquid flow pattern identification
, 2012 Gas-liquid flows abound in a great variety of industrial processes. Correct recognition of the regimes of a gas-liquid flow is one of the most formidable challenges in multiphase flow measurement.
Gong, H., Sun, Z.
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Orthogonal intrinsic mode functions via optimization approach
Journal of Industrial & Management Optimization, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Xinpeng +3 more
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The sodium-potassium pump controls the intrinsic firing of the cerebellar Purkinje neuron [PDF]
, 2012 In vitro, cerebellar Purkinje cells can intrinsically fire action potentials in a repeating trimodal or bimodal pattern. The trimodal pattern consists of tonic spiking, bursting, and quiescence.
Mark J. Wall +10 more
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Wavelet transform-based mode decomposition for EEG signals under general anesthesia [PDF]
PeerJBackground Mode decomposition methods are used to extract the characteristic intrinsic mode function (IMF) from various multidimensional time series signals.
Shoko Yamochi +6 more
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Hour-Ahead Wind Speed and Power Forecasting Using Empirical Mode Decomposition
Energies, 2013 Operation of wind power generation in a large farm is quite challenging in a smart grid owing to uncertain weather conditions. Consequently, operators must accurately forecast wind speed/power in the dispatch center to carry out unit commitment, real ...
Ying-Yi Hong, Ti-Hsuan Yu, Ching-Yun Liu
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Pressure fluctuation signal analysis of pump based on ensemble empirical mode decomposition method
Water Science and Engineering, 2014 Pressure fluctuations, which are inevitable in the operation of pumps, have a strong non-stationary characteristic and contain a great deal of important information representing the operation conditions.
Hong Pan, Min-sheng Bu
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The research progress of empirical mode decomposition and mode mixing elimination
Dianzi Jishu Yingyong, 2019 The Empirical Mode Decomposition(EMD) algorithm proposed by Huang is a data driven adaptive analysis method for nonlinear time-varying signals. The signals can be decomposed into a few Intrinsic Mode Functions(IMFs) components with physical meaning ...
Dai Ting +5 more
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Spectral Correlation Measure for Selecting Intrinsic Mode Functions [PDF]
, 2014 Time series analysis implies extracting relevant features from real-world applications to improve pattern recognition tasks. In that sense, representation methods based on time series decomposition and similarity measures are combined to select representative features with physical interpretability.
Edgar F. Sierra-Alonso +3 more
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