Results 71 to 80 of about 49,831 (187)
Financial Applications of Random Matrix Theory: a short review [PDF]
, 2009 We discuss the applications of Random Matrix Theory in the context of financial markets and econometric models, a topic about which a considerable number of papers have been devoted to in the last decade.
Bouchaud, J. P., Potters, M.
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IEEE Photonics Journal, 2016 Low-coherence interferometry (LCI) has proved to be a useful tool in optical measurement and detection. However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult.
Hongxia Zhang +4 more
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Dynamic improved complete ensemble empirical mode decomposition
, 2020 Görgül Kip Ayrışımı ((EMD) ̇) doğrusal olmayan sistemlerden kaynaklanan durağan olmayan işaretleri analiz etmek için kullanılan adaptif (veri-beslemeli) bir zaman/frekans metodudur. (EMD) ̇'nin en önemli problemi orjinal sinyal analiz edilirken elde edilen `mod-karıştırması` denilen fenomendir.
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Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning [PDF]
, 2014 A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition and
Kurbatsky, Victor +5 more
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Applied Water ScienceVarious critical applications, spanning from watershed management to agricultural planning and ecological sustainability, hinge upon the accurate prediction of reference evapotranspiration (ETo).
Ahmed Elbeltagi +5 more
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Short-term prediction of trimaran load based on data driven technology
BrodogradnjaDue to the complex flow interference by side hulls, load prediction has been one of the obstacles to achieve structural health monitoring and intelligent navigation of trimarans.
Haoyun Tang +3 more
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An FSCEEMD method for downhole weak SNR signal extraction of near-bit attitude parameters
EURASIP Journal on Advances in Signal ProcessingIn practice, the near-bit drilling tool confronts with strong vibrations and high-speed rotation. Therein the original signal amplitude of the tool attitude measurements is relatively feeble, and the signal-to-noise ratio (SNR) is exceptionally low.
Yanhui Mao +4 more
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A Novel Source Number Enumeration Approach Based on Ensemble Learning and SEEMD
IEEE AccessEmpirical Mode Decomposition (EMD) is a widely adopted adaptive signal analysis method, particularly effective for source number estimation in non-stationary environments. It decomposes complex signals into a series of Intrinsic Mode Functions (IMFs) and
Zhu Cairong, Ge Shengguo, Xu Yihan
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Occipital and left temporal instantaneous amplitude and frequency oscillations correlated with access and phenomenal consciousness [PDF]
Given the hard problem of consciousness (Chalmers, 1995) there are no brain electrophysiological correlates of the subjective experience (the felt quality of redness or the redness of red, the experience of dark and light, the quality of depth in a ...
Pereira, Vitor Manuel Dinis
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IEEE Access, 2019 A method combined ensemble empirical mode decomposition, Volterra model and decision acyclic graph support vector machine was proposed to improve adaptability, feature resolution, and identification accuracy when diagnosing mechanical faults in an on ...
Yuqin Xu +4 more
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