Novel underwater acoustic signal denoising: Combined optimization secondary decomposition coupled with original component processing algorithms

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 193, P. 116098 - 116098

Published: Feb. 13, 2025

Language: Английский

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Energy fluctuation pattern recognition coupled with decomposition-integration: A novel ocean tidal energy forecasting system

Measurement, Journal Year: 2024, Volume and Issue: 238, P. 115374 - 115374

Published: July 23, 2024

Language: Английский

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A method for accurate prediction of photovoltaic power based on multi-objective optimization and data integration strategy

Applied Mathematical Modelling, Journal Year: 2024, Volume and Issue: 136, P. 115643 - 115643

Published: Aug. 17, 2024

Language: Английский

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Coal Mine Methane Gas Concentration Prediction Based on PSO-VMD-LSTM and Error Quadratic Decomposition

Mining Metallurgy & Exploration, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Language: Английский

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A new denoising method of ship-radiated noise: Improved variational mode decomposition coupled with fractional order entropy double threshold criterion

Measurement Science and Technology, Journal Year: 2024, Volume and Issue: 35(12), P. 126112 - 126112

Published: Aug. 2, 2024

Abstract Ship-radiated noise (SRN) contains abundant ship characteristic information. The detection and analysis of SRN is very important for target recognition, positioning tracking. However, complex ocean easily interferes with the propagation in water. To achieve a preferable denoising effect, new method proposed. First, decomposed by an improved variational mode decomposition (DVMD) dung beetle optimizer, complexity each intrinsic function after measured fractional order refined composite multiscale fluctuation dispersion entropy (FRCMFDE). Second, distribution characteristics are analyzed, different adaptive division methods used to determine modes, i.e. it divides all modes into clean mildly noisy moderately highly modes. Then, locally weighted scatterplot smoothing dual-tree wavelet transform (IDTCWT) denoise respectively. Finally, denoised obtained reconstructing two groups proposed Rossler, Chen Lorenz signals, signal-to-noise ratio (SNR) 13.0785, 11.9390 12.3775 dB, Compared DVMD-FRCMFDE, DVMD-FRCMFDE-wavelet soft threshold ( WSTD) DVMD-FRCMFDE-IDTCWT, SNR increased 48%, 45.93% 38.76%, respectively, root mean square error 46.55%, 42.76% 30.04%, applied four types SRN. Based on these findings, enhances clarity smoothness phase space attractor, effectively suppresses marine environmental SRN, which provides solid groundwork subsequent processing

Language: Английский

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A novel approach for underwater acoustic signal denoising based on improved time-variant filtered empirical mode decomposition and weighted fusion filtering

Ocean Engineering, Journal Year: 2024, Volume and Issue: 313, P. 119550 - 119550

Published: Oct. 23, 2024

Language: Английский

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An ocean tidal energy point-interval forecasting system based on enhanced auxiliary feature, mode decomposition combined with compressive sensing and attention interaction

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143680 - 143680

Published: Sept. 1, 2024

Language: Английский

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Secondary decomposition multilevel denoising method of hydro-acoustic signal based on information gain fusion feature

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

Language: Английский

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