FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308490896> ?p ?o ?g. }

• W4308490896 abstract "Due to the complexity of marine environment, underwater acoustic signal will be affected by complex background noise during transmission. Underwater acoustic signal denoising is always a difficult problem in underwater acoustic signal processing. To obtain a better denoising effect, a new denoising method of underwater acoustic signal based on optimized variational mode decomposition by black widow optimization algorithm (BVMD), fluctuation-based dispersion entropy threshold improved by Otsu method (OFDE), cosine similarity stationary threshold (CSST), BVMD, fluctuation-based dispersion entropy (FDE), named BVMD-OFDE-CSST-BVMD-FDE, is proposed. In the first place, decompose the original signal into a series of intrinsic mode functions (IMFs) by BVMD. Afterwards, distinguish pure IMFs, mixed IMFs and noise IMFs by OFDE and CSST, and reconstruct pure IMFs and mixed IMFs to obtain primary denoised signal. In the end, decompose primary denoising signal into IMFs by BVMD again, use the FDE value to distinguish noise IMFs and pure IMFs, and reconstruct pure IMFs to obtain the final denoised signal. The proposed mothod has three advantages: (i) BVMD can adaptively select the decomposition layer and penalty factor of VMD. (ii) FDE and CS are used as double criteria to distinguish noise IMFs from useful IMFs, and Otsu algorithm and CSST algorithm can effectively avoid the error caused by manually selecting thresholds. (iii) Secondary decomposition can make up for the deficiency of primary decomposition and further remove a small amount of noise. The chaotic signal and real ship signal are denoised. The experiment result shows that the proposed method can effectively denoise. It improves the denoising effect after primary decomposition, and has good practical value." @default.
• W4308490896 created "2022-11-12" @default.
• W4308490896 creator A5013178268 @default.
• W4308490896 creator A5030771983 @default.
• W4308490896 creator A5062896696 @default.
• W4308490896 date "2022-11-01" @default.
• W4308490896 modified "2023-09-30" @default.
• W4308490896 title "Underwater acoustic signal denoising model based on secondary variational mode decomposition" @default.
• W4308490896 cites W1948687848 @default.
• W4308490896 cites W1972292567 @default.
• W4308490896 cites W2181210515 @default.
• W4308490896 cites W2190588557 @default.
• W4308490896 cites W2519021257 @default.
• W4308490896 cites W2539232103 @default.
• W4308490896 cites W2558381496 @default.
• W4308490896 cites W2616438434 @default.
• W4308490896 cites W2748668185 @default.
• W4308490896 cites W2766420114 @default.
• W4308490896 cites W2792354770 @default.
• W4308490896 cites W2883181739 @default.
• W4308490896 cites W2883236530 @default.
• W4308490896 cites W2887002979 @default.
• W4308490896 cites W2902033916 @default.
• W4308490896 cites W2904807804 @default.
• W4308490896 cites W2905938231 @default.
• W4308490896 cites W2908598672 @default.
• W4308490896 cites W2911762831 @default.
• W4308490896 cites W2911926529 @default.
• W4308490896 cites W2913063882 @default.
• W4308490896 cites W2920235281 @default.
• W4308490896 cites W2940513807 @default.
• W4308490896 cites W2947139633 @default.
• W4308490896 cites W2953717604 @default.
• W4308490896 cites W2955522774 @default.
• W4308490896 cites W2961492042 @default.
• W4308490896 cites W2965120462 @default.
• W4308490896 cites W2982088483 @default.
• W4308490896 cites W2996050152 @default.
• W4308490896 cites W3007074807 @default.
• W4308490896 cites W3009405041 @default.
• W4308490896 cites W3015882935 @default.
• W4308490896 cites W3034097089 @default.
• W4308490896 cites W3036884104 @default.
• W4308490896 cites W3046820249 @default.
• W4308490896 cites W3094654122 @default.
• W4308490896 cites W3111679652 @default.
• W4308490896 cites W3115727597 @default.
• W4308490896 cites W3130491436 @default.
• W4308490896 cites W3197611407 @default.
• W4308490896 cites W4206628487 @default.
• W4308490896 cites W4224325866 @default.
• W4308490896 cites W4281767573 @default.
• W4308490896 cites W4283009932 @default.
• W4308490896 cites W4296905487 @default.
• W4308490896 doi "https://doi.org/10.1016/j.dt.2022.10.011" @default.
• W4308490896 hasPublicationYear "2022" @default.
• W4308490896 type Work @default.
• W4308490896 citedByCount "14" @default.
• W4308490896 countsByYear W43084908962023 @default.
• W4308490896 crossrefType "journal-article" @default.
• W4308490896 hasAuthorship W4308490896A5013178268 @default.
• W4308490896 hasAuthorship W4308490896A5030771983 @default.
• W4308490896 hasAuthorship W4308490896A5062896696 @default.
• W4308490896 hasBestOaLocation W43084908961 @default.
• W4308490896 hasConcept C111368507 @default.
• W4308490896 hasConcept C112633086 @default.
• W4308490896 hasConcept C11413529 @default.
• W4308490896 hasConcept C115961682 @default.
• W4308490896 hasConcept C121332964 @default.
• W4308490896 hasConcept C127313418 @default.
• W4308490896 hasConcept C154945302 @default.
• W4308490896 hasConcept C163294075 @default.
• W4308490896 hasConcept C199360897 @default.
• W4308490896 hasConcept C24890656 @default.
• W4308490896 hasConcept C25570617 @default.
• W4308490896 hasConcept C2779843651 @default.
• W4308490896 hasConcept C28490314 @default.
• W4308490896 hasConcept C41008148 @default.
• W4308490896 hasConcept C76155785 @default.
• W4308490896 hasConcept C98083399 @default.
• W4308490896 hasConcept C99498987 @default.
• W4308490896 hasConceptScore W4308490896C111368507 @default.
• W4308490896 hasConceptScore W4308490896C112633086 @default.
• W4308490896 hasConceptScore W4308490896C11413529 @default.
• W4308490896 hasConceptScore W4308490896C115961682 @default.
• W4308490896 hasConceptScore W4308490896C121332964 @default.
• W4308490896 hasConceptScore W4308490896C127313418 @default.
• W4308490896 hasConceptScore W4308490896C154945302 @default.
• W4308490896 hasConceptScore W4308490896C163294075 @default.
• W4308490896 hasConceptScore W4308490896C199360897 @default.
• W4308490896 hasConceptScore W4308490896C24890656 @default.
• W4308490896 hasConceptScore W4308490896C25570617 @default.
• W4308490896 hasConceptScore W4308490896C2779843651 @default.
• W4308490896 hasConceptScore W4308490896C28490314 @default.
• W4308490896 hasConceptScore W4308490896C41008148 @default.
• W4308490896 hasConceptScore W4308490896C76155785 @default.
• W4308490896 hasConceptScore W4308490896C98083399 @default.
• W4308490896 hasConceptScore W4308490896C99498987 @default.
• W4308490896 hasFunder F4320321001 @default.
• W4308490896 hasLocation W43084908961 @default.

• next