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Analysis of the Intrinsic Mode Functions [PDF]
Constructive Approximation, 2004 The Empirical Mode Decomposition is a process for signals which produces Intrinsic Mode Functions from which instantaneous frequencies may be extracted by simple application of the Hilbert transform. The beauty of this method to generate redundant representations is in its simplicity and its effectiveness.
Veseelin Vatchev, Robert C. Sharpley
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Analysis of Intrinsic Mode Functions: A PDE Approach [PDF]
IEEE Signal Processing Letters, 2010 The empirical mode decomposition is a powerful tool for signal processing. Because of its original algorithmic, recent works have contributed to its theoretical framework. Following these works, some mathematical contributions on its comprehension and formalism are provided.
Diop, El Hadji +2 more
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Qualitative assessment of intrinsic mode functions of empirical mode decomposition [PDF]
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 The 'empirical mode decomposition' (EMD) method has been recently proposed to deal with nonlinear and non- stationary data, which decomposes signals into 'well-behaved' intrinsic mode functions (IMFs). An assessment on the qualitative performance of the EMD method in terms of the degree of signal nature preservation of individual IMF is provided.
Mo Chen 0006 +3 more
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A New Description of Nuclear Rotational Motion in terms of Intrinsic Pair Mode [PDF]
, 2001 A new method describing nuclear rotational motion microscopically is proposed. We extract the rotational Hamiltonian by introducing the intrinsic pair modes which commute with the rotational mode. Thereby the rotational mode is not treated as zero energy
Hayashi, Daisuke +2 more
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Quantum State Transfer Characterized by Mode Entanglement [PDF]
, 2005 We study the quantum state transfer (QST) of a class of tight-bonding Bloch electron systems with mirror symmetry by considering the mode entanglement.
C. P. Sun +5 more
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De-noising method of mine gas monitoring data
Gong-kuang zidonghua, 2018 In order to solve problem of easily eliminating effective signal component of mine gas monitoring data by wavelet de-noising, a de-noising method of mine gas monitoring data based on Hilbert-Huang transform was proposed.
LIANG Rong, DONG Dingwen
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Empirical mode decomposition-based facial pose estimation inside video sequences [PDF]
, 2010 We describe a new pose-estimation algorithm via integration of the strength in both empirical mode decomposition (EMD) and mutual information. While mutual information is exploited to measure the similarity between facial images to estimate poses, EMD is
Jiang, Jianmin +2 more
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Frontiers in Neuroscience, 2019 Resting-state functional connectivity MRI (rs-fcMRI) is a common method for mapping functional brain networks. However, estimation of these networks is affected by the presence of a common global systemic noise, or global signal (GS).
Narges Moradi +7 more
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Advances in Mechanical Engineering, 2019 Based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) algorithm and kernel online sequential extreme learning machine (KOSELM) algorithm, a new hybrid short-term traffic flow prediction model (ICEEMDAN-KOSELM ...
Xiujuan Tian +4 more
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Health status identification of catenary based on VMD and FA-ELM
Journal of Algorithms & Computational Technology, 2021 Catenary works as a key part in the electric railway traction power supply system, which is exposed outdoors for a long time and the failure rate is very high. Once a failure occurs, it will directly affect the driving safety. Based on the above, a model
Lingzhi Yi +5 more
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