Results 31 to 40 of about 8,950,043 (334)
Enhanced monopulse radar tracking using empirical mode decomposition [PDF]
, 2010 Monopulse radar processors are used to track targets that appear in the look direction beamwidth. The target tracking information (range, azimuth angle, and elevation angle) are affected when manmade high power interference (jamming) is introduced to the
Elgamel, Sherif A.E.H., Soraghan, J.J.
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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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Shock and Vibration, 2022 In the aspect of gearbox fault diagnosis, the periodic pulse signal containing fault characteristics is often overwhelmed with other strong interference components, which brings a great challenge for gearbox fault detection and status identification.
Fengfeng Bie +4 more
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The Roles of Majorization and Generalized Triangular Decomposition in Communication and Signal Processing [PDF]
, 2011 Signal processing is an art that deals with the representation, transformation, and manipulation of the signals and the information they contain based on their specific features.
Weng, Ching-Chih
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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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Ensemble patch transformation: a flexible framework for decomposition and filtering of signal
EURASIP Journal on Advances in Signal Processing, 2020 This paper considers the problem of signal decomposition and filtering by extending its scope to various signals that cannot be effectively dealt with existing methods.
Donghoh Kim, Guebin Choi, Hee-Seok Oh
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Quantitative investment decisions based on machine learning and investor attention analysis
Technological and Economic Development of Economy, 2023 According to the trading rules and financial data structure of the stock index futures market, and considering the impact of major emergencies, we intend to build a quantitative investment decision-making model based on machine learning.
Jie Gao +3 more
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Journal of Imaging, 2021 Infants with fragile skin are patients who would benefit from non-contact vital sign monitoring due to the avoidance of potentially harmful adhesive electrodes and cables. Non-contact vital signs monitoring has been studied in clinical settings in recent
Fatema-Tuz-Zohra Khanam +4 more
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Signal Periodic Decomposition With Conjugate Subspaces [PDF]
IEEE Transactions on Signal Processing, 2016 11 pages, 9 ...
Shi-Wen Deng, Ji-Qing Han 0001
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Rehaussement du signal de parole voisé par filtrage adaptatif des modes intrinsèques empiriques [PDF]
, 2010 In this paper a new method for voiced speech enhancement combining the Empirical Mode Decomposition (EMD) and the Adaptive Center Weighted Average (ACWA) filter is introduced.
TURKI, Monia +2 more
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