Codage des signaux par EMD [PDF]
, 2012 In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs).
KHALDI, Kais +2 more
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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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Using EMD-FrFT filtering to mitigate high power interference in chirp tracking radars [PDF]
, 2011 This letter presents a new signal processing subsystem for conventional monopulse tracking radars that offers an improved solution to the problem of dealing with manmade high power interference (jamming).
Soraghan, John +3 more
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Application of empirical mode decomposition in improving group method of data handling [PDF]
, 2023 The accuracy of electricity load demand forecasting is essential for avoiding energy waste and overuse. Hence, this paper aims to model the forecast electricity load demand by combining Empirical Mode Decomposition (EMD) with Group Method of Data ...
Shabri, Ani, Razif, Nur Rafiqah Abdul
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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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EMD Mode Mixing Separation of Signals with Close Spectral Proximity in Smart Grids [PDF]
, 2018 The Empirical Mode Decomposition (EMD) is a signal analysis method that separates multi-component signals into single oscillatory modes called intrinsic mode functions (IMFs).
Fosso, Olav B +3 more
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Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting [PDF]
, 2023 Accurate forecasting of rainfall is extremely important due to its complex nature and enormous impacts on hydrology, floods, droughts, agriculture, and monitoring of pollutant concentration levels.
Yaseen, Zaher Mundher +5 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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