EMD combined with ensemble of machine learning predictors for foreign exchange rate forecasting
CTU Journal of Innovation and Sustainable DevelopmentForecasting foreign exchange rates is a critical financial challenge. In this paper, we build on recent trends and address the limitations of prior research by proposing a novel approach.
Duong Tuan Anh, Tran Van Xuan
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Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques [PDF]
, 2014 In order to reduce the muscle artifacts in multi-channel pervasive Electroencephalogram (EEG) signals, we here propose and compare two hybrid algorithms by combining the concept of wavelet packet transform (WPT), empirical mode decomposition (EMD) and ...
Koushik Maharatna +7 more
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EEMD Independent Extraction for Mixing Features of Rotating Machinery Reconstructed in Phase Space
Sensors, 2015 Empirical Mode Decomposition (EMD), due to its adaptive decomposition property for the non-linear and non-stationary signals, has been widely used in vibration analyses for rotating machinery.
Zaichao Ma, Guangrui Wen, Cheng Jiang
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Research on Dynamic Measurement Method of Flow Rate in Tea Processing
Sensors, 2022 Tea flow rate is a key indicator in tea production and processing. Due to the small real−time flow of tea leaves on the production line, the noise caused by the transmission system is greater than or close to the real signal of tea leaves. This issue may
Zhangfeng Zhao +5 more
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Improved EMD Using Doubly-Iterative Sifting and High Order Spline Interpolation [PDF]
, 2008 Empirical mode decomposition (EMD) is a signal analysis method which has received much attention lately due to its application in a number of fields. The main disadvantage of EMD is that it lacks a theoretical analysis and, therefore, our understanding ...
Yannis Kopsinis +4 more
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Analyse des modes empiriques : une approche EDP [PDF]
, 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.
DIOP, El Hadji +2 more
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review
Guan'gai paishui xuebaoHydrological series are influenced by climate change, ecological succession, and human activities, containing complex, multi-layered, and interactive information that reflects highly non-linear and non-stationary characteristics.
CHEN Yunfei +5 more
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Fault Diagnosis for Gearbox Based on Improved Empirical Mode Decomposition
Shock and Vibration, 2015 The application of the improved empirical mode decomposition (EMD) theory in gearbox fault diagnosis has been studied in this paper, and the transient features of gearbox vibration signals are shown.
Ling Zhao, Darong Huang, Yi Qin
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Entropy, 2019 The continuous casting process is a continuous, complex phase transition process. The noise components of the continuous casting process are complex, the model is difficult to establish, and it is difficult to separate the noise and clear signals ...
Zhufeng Lei, Wenbin Su, Qiao Hu
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Investigating properties of the cardiovascular system using innovative analysis algorithms based on ensemble empirical mode decomposition [PDF]
, 2012 This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited - Copyright @ 2012 Jia-Rong Yeh et al ...
Lin, TY +5 more
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