Results 31 to 40 of about 2,665,090 (225)
Research on Runoff Prediction Based on EMD-FBI-ELM Model
Renmin Zhujiang, 2022 To improve the accuracy of runoff prediction,this paper proposes a runoff prediction method based on empirical mode decomposition (EMD),forensic-based investigation (FBI) algorithm and extreme learning machine (ELM).Firstly,EMD is used to decompose the ...
ZHANG Yajie, CUI Dongwen
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Fusion Algorithm-Based Temperature Compensation Method for High-G MEMS Accelerometer
Shock and Vibration, 2019 In recent years, High-G MEMS accelerometers have been widely used in aviation, medicine, and other fields. So it is extremely important to improve the accuracy and performance of High-G MEMS accelerometers. For this purpose, we propose a fusion algorithm
Qing Lu +4 more
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A novel combined intelligent algorithm prediction model for the tunnel surface settlement
Scientific Reports, 2023 To ensure the safety and stability of the shield tunnel construction process, the ground settlement induced by the shield construction needs to be effectively predicted.
You Wang +5 more
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Micromachines, 2023 This paper presents an improved empirical modal decomposition (EMD) method to eliminate the influence of the external environment, accurately compensate for the temperature drift of MEMS gyroscopes, and improve their accuracy.
Zhong Li +6 more
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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
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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
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NA-MEMD Is Actually What You Need for Computational Pulse Analysis
IEEE Access, 2022 Time-frequency analysis is of necessity for wrist pulse signal due to its complexity, among which, empirical mode decomposition (EMD) algorithm and its improved noise-assisted versions (such as ensemble EMD, noise-assisted multivariate EMD (NA-MEMD) and ...
Huaxing Xu +5 more
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Empirical Mode Decomposition-Based Feature Extraction for Environmental Sound Classification
Sensors, 2022 In environment sound classification, log Mel band energies (MBEs) are considered as the most successful and commonly used features for classification. The underlying algorithm, fast Fourier transform (FFT), is valid under certain restrictions.
Ammar Ahmed +3 more
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Optimal Signal Reconstruction Using the Empirical Mode Decomposition
EURASIP Journal on Advances in Signal Processing, 2008 The empirical mode decomposition (EMD) was recently proposed as a new time-frequency analysis tool for nonstationary and nonlinear signals. Although the EMD is able to find the intrinsic modes of a signal and is completely self-adaptive, it does not have
Kenneth E. Barner, Binwei Weng
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PLoS ONE, 2022 One of the major reasons that limit the practical applications of a brain-computer interface (BCI) is its long calibration time. In this paper, we propose a novel approach to reducing the calibration time of motor imagery (MI)-based BCIs without ...
Wei Xiong, Qingguo Wei
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