Results 1 to 10 of about 215,660 (296)
Entropy, 2016 In order to solve the problem of feature extraction of underwater acoustic signals in complex ocean environment, a new method for feature extraction from ship-radiated noise is presented based on empirical mode decomposition theory and permutation ...
Yu-Xing Li +3 more
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Noise Reduction for Nonlinear Nonstationary Time Series Data using Averaging Intrinsic Mode Function
Algorithms, 2013 A novel noise filtering algorithm based on averaging Intrinsic Mode Function (aIMF), which is a derivation of Empirical Mode Decomposition (EMD), is proposed to remove white-Gaussian noise of foreign currency exchange rates that are nonlinear ...
Christofer Toumazou +2 more
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Optimal Intrinsic Mode Function Based Detection of Motor Bearing Damages
Applied Sciences, 2019 This paper proposes a model which uses the greedy algorithm to select the optimal intrinsic mode functions (IMFs) of the empirical mode decomposition (EMD), namely the greedy empirical mode decomposition (GEMD) model.
Chun-Yao Lee +3 more
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Identification of Retinal Diseases Using Light Convolutional Neural Networks and Intrinsic Mode Function Technique [PDF]
DiagnosticsBackground/Objectives: Fundus imaging provides a detailed view of the interior surface of the eye and plays a crucial role in the early diagnosis of retinal diseases.
Preethi Kulkarni, Konda Srinivasa Reddy
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LAND COVER DYNAMIC CHANGE MODES ANALYSIS BASED ON EMPIRICAL MODE DECOMPOSITION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The dynamic change mode of land cover not only reflects the change characteristics of the land cover itself, but also reflects the influence exerted by external factors.
L. Tang +4 more
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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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Pairs Trading Based on Empirical Mode Decomposition (EMD) [PDF]
Iranian Journal of Finance, 2023 As a trading strategy, pairs trading is performed based on the arbitrage opportunities extracted from statistical models. It is an outcome of the distance between an asset pair and the equilibrium state.
Bahareh Zarintaj +2 more
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IEEE Access, 2021 In the field of underwater acoustic signal processing, the ship radiated noise contains a large amount of ship information, which is of great significance to the ship identification.
Zhufeng Lei +5 more
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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.
El-Hadji Samba Diop +2 more
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Time-Frequency Analysis of Noisy Vibration Signal Based on Improved Hilbert-Huang Transform
Shanghai Jiaotong Daxue xuebao, 2023 Aimed at the phenomenon of modal confusion and lack of practical significance of instantaneous frequency caused by Hilbert-Huang transform (HHT) noisy vibration signal time-frequency analysis, complete ensemble empirical mode decomposition with adaptive ...
SUN Miao, YANG Junkai, WU Li
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