Results 11 to 20 of about 4,786,449 (207)
EMD-based filtering (EMDF) of low-frequency noise for speech enhancement [PDF]
, 2012 An Empirical Mode Decomposition based filtering (EMDF) approach is presented as a post-processing stage for speech enhancement. This method is particularly effective in low frequency noise environments.
Navin Chatlani +4 more
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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.
core +3 more sources
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
core +4 more sources
Accounting for nonstationarity in the condition monitoring of wind turbine gearboxes [PDF]
, 2013 Increasing growth of wind turbine systems suggests a more systematic research around their design, operation and maintenance is needed. These systems operate under challenging enviromental conditions and failure of some of their parts, for the time being,
Antoniadou, Ifigeneia
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Parameter-Adaptive TVF-EMD Feature Extraction Method Based on Improved GOA
Sensors, 2022 In order to separate the sub-signals and extract the feature frequency in the signal accurately, we proposed a parameter-adaptive time-varying filtering empirical mode decomposition (TVF-EMD) feature extraction method based on the improved grasshopper ...
Chengjiang Zhou +5 more
doaj +1 more source
, 2013 In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called ...
KHALDI, Kais, BOUDRAA, Abdel-Ouahab
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Research on Intelligent Power Load Forecasting Algorithm Based on Empirical Mode Decomposition
Chemical Engineering Transactions, 2017 The load forecasting of power system is related to the dispatching operation and production planning of power system. Accurate load forecasting can improve the safety and stability of the system and reduce the cost of power generation. The load variation
Qinghua Chen
doaj +1 more source
Journal of Hydroinformatics, 2021 Traditionally, tidal level is predicted by harmonic analysis (HA). In this paper, three hybrid models that couple varied pre-processing methods, which are empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), and empirical ...
Bing-Xian Liang +3 more
doaj +1 more source
Elastic Net Regression and Empirical Mode Decomposition for Enhancing the Accuracy of the Model Selection [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 Elastic net (ELNET) regression is a hybrid statistical technique used for regularizing and selecting necessary predictor variables that have a strong effect on the response variable and deal with multicollinearity problem when it exists between the ...
Abdullah S. Al-Jawarneh +2 more
doaj +1 more source
Empirical mode decomposition (EMD) analysis of HRV data from locally anesthetized patients [PDF]
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009 Spectral analysis of Heart Rate Variability (HRV) is used for the assessment of cardiovascular autonomic control. In this study data driven adaptive technique Empirical Mode Decomposition (EMD) and the associated Hilbert spectrum has been used to evaluate the effect of local anesthesia on HRV parameters in a group of fourteen patients undergoing ...
Shafqat, K. +3 more
openaire +3 more sources