Results 31 to 40 of about 590,374 (288)
IEEE Access, 2022 As the transition to electric mobility is accelerating, EV fleet charging loads are expected to become increasingly significant for power systems. Hence, EV fleet load forecasting is vital to maintaining the reliability and safe operation of the power ...
Emrah Dokur +2 more
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Signal Decomposition Using Masked Proximal Operators
Foundations and Trends® in Signal Processing, 2023 The manuscript has 61 pages, 22 figures and 2 tables. Also hosted at https://web.stanford.edu/~boyd/papers/sig_decomp_mprox.html.
Meyers, Bennet E., Boyd, Stephen P.
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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 ...
Kopsinis, Yannis, McLaughlin, Stephen
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Decomposition of indwelling EMG signals
Journal of Applied Physiology, 2008 Decomposition of indwelling electromyographic (EMG) signals is challenging in view of the complex and often unpredictable behaviors and interactions of the action potential trains of different motor units that constitute the indwelling EMG signal. These phenomena create a myriad of problem situations that a decomposition technique needs to address to ...
S Hamid, Nawab +2 more
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Signal Periodic Decomposition With Conjugate Subspaces [PDF]
IEEE Transactions on Signal Processing, 2016 11 pages, 9 ...
Deng, Shi-Wen, Han, Ji-Qing
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A fault diagnosis method for coal mine machinery bearing
Gong-kuang zidonghua, 2019 Aiming at the problem that existing adaptive diagnosis methods of coal mine machinery bearing fault were susceptible to the interference of high frequency noise and intermittent noise, which led to the low accuracy of original signal decomposition and ...
XU Qingqing, ZHAO Haifang, LI Shouju
doaj +1 more source
, 2007 A new threshold rule for the estimation of a deterministic image immersed in noise is proposed. The full estimation procedure is based on a separable wavelet decomposition of the observed image, and the estimation is improved by introducing the new ...
Olhede, SC
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Self-Similar Decomposition of Digital Signals [PDF]
Cybernetics and Information Technologies, 2019 Abstract Traditionally, the engineers analyze signals in the time domain and in the frequency domain. These signal representations discover different signal characteristics and in many cases, the exploration of a single signal presentation is not sufficient.
Alexiev Kiril M. +2 more
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Energies, 2022 This paper proposes a denoising method of vibration signal based on improved multiresolution singular value decomposition (IMRSVD) and effective component selection.
Xihui Chen +3 more
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Disambiguating the role of blood flow and global signal with partial information decomposition [PDF]
, 2019 Global signal (GS) is an ubiquitous construct in resting state functional magnetic resonance imaging (rs-fMRI), associated to nuisance, but containing by definition most of the neuronal signal.
Calhoun, Vince D. +5 more
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