Results 11 to 20 of about 2,665,090 (225)
Energies, 2017 Accurate load forecasting is an important issue for the reliable and efficient operation of a power system. This study presents a hybrid algorithm that combines similar days (SD) selection, empirical mode decomposition (EMD), and long short-term memory ...
Huiting Zheng, Jiabin Yuan, Long Chen
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Applied Sciences, 2022 A method to estimate modal frequency based on empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) is proposed. This method can decrease the difficulties in identifying modal frequency of combine harvesters.
Lei Gao +8 more
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Noise Cancellation Method Based on TVF-EMD with Bayesian Parameter Optimization
Algorithms, 2023 To separate the noise and important signal features of the indoor carbon dioxide (CO2) concentration signal, we proposed a noise cancellation method, based on time-varying, filtering-based empirical mode decomposition (TVF-EMD) with Bayesian optimization
Miaomiao Yu +3 more
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An Improved EMD Method Based on Utilizing Certain Inflection Points in the Construction of Envelope Curves [PDF]
Archives of Acoustics, 2023 The empirical mode decomposition (EMD) algorithm is widely used as an adaptive time-frequency analysis method to decompose nonlinear and non-stationary signals into sets of intrinsic mode functions (IMFs).
Mohsen KAFIL +2 more
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EMD performance comparison: single vs double floating points [PDF]
, 2016 Empirical mode decomposition (EMD) is a data-driven method used to decompose data into oscillatory components. This paper examines to what extent the defined algorithm for EMD might be susceptible to data format. Two key issues with EMD are its stability
Laszuk, Dawid +2 more
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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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A Modified Noise-Resistant Trend Estimation Method Based on EMD and SSA for Aeroelastic Aircraft Systems [PDF]
AUT Journal of Modeling and Simulation, 2021 Aimed at the nonlinear system identification of aeroelastic aircraft, the signal decomposition methods are required to extract the contributing natural and non-standard flight modes from flight test data, especially in the presence of flight noise.
Seyed Amin Bagherzadeh +1 more
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Improving Stock Price Prediction Using Combining Forecasts Methods
IEEE Access, 2021 This study presents an outcome of pursuing better and effective forecasting methods. The study primarily focuses on the effective use of divide-and-conquer strategy with Empirical Mode Decomposition or briefly EMD algorithm.
Mohammad Raquibul Hossain +2 more
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Empirical mode decomposition with shape-preserving spline interpolation
Results in Applied Mathematics, 2020 Empirical mode decomposition (EMD) is a popular, novel, user-friendly algorithm to decompose a given signal into its constituting components, utilizing spline interpolation.
Maria D. van der Walt
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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.
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