FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313203574> ?p ?o ?g. }

• W4313203574 endingPage "17" @default.
• W4313203574 startingPage "1" @default.
• W4313203574 abstract "Sparse low-rank denoising methods are widely applied for seismic random noise attenuation. Due to the poor structural sparsity and poor low rank of the traditional method, random noises, effective signal loss, and poor continuity still exist. To overcome these barriers, a multitrace seismic random noise simultaneous attenuation method in the time–frequency using the Lp-variation and <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>${gamma }$ </tex-math></inline-formula> norm constraint is proposed. This approach uses Lp-variation regularization to describe the structural sparsity of seismic data in the time–frequency domain. The structural sparsity can obtain the structural similarity of adjacent traces in the time–frequency domain. This similarity can improve the continuity of events and can further suppress low-amplitude random noise. Besides, the approach utilizes the <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>${gamma }$ </tex-math></inline-formula> norm to constrain the low rank of seismic data in the time–frequency domain. The <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>${gamma }$ </tex-math></inline-formula> norm can obtain more low-rank information than the nuclear norm. More low-rank information can improve the overall suppression effect of random noise. The Lp-variation and <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>${gamma }$ </tex-math></inline-formula> norm constraints are used to construct the objective function. The alternating direction method of multipliers algorithm, the difference of convex programming, and singular value decomposition are utilized to obtain the attenuation algorithm. Both synthetic and field data tests prove that the proposed method has better denoising and effective signal protection ability." @default.
• W4313203574 created "2023-01-06" @default.
• W4313203574 creator A5006101106 @default.
• W4313203574 creator A5022976382 @default.
• W4313203574 creator A5041246712 @default.
• W4313203574 date "2023-01-01" @default.
• W4313203574 modified "2023-09-27" @default.
• W4313203574 title "Seismic Random Noise Simultaneous Attenuation in the Time–Frequency Domain Using Lp-Variation and γ Norm Constraint" @default.
• W4313203574 cites W1993865713 @default.
• W4313203574 cites W2004603857 @default.
• W4313203574 cites W2007221293 @default.
• W4313203574 cites W2007938736 @default.
• W4313203574 cites W2020205028 @default.
• W4313203574 cites W2021734622 @default.
• W4313203574 cites W2033676516 @default.
• W4313203574 cites W2122470519 @default.
• W4313203574 cites W2152792250 @default.
• W4313203574 cites W2154087768 @default.
• W4313203574 cites W2280613569 @default.
• W4313203574 cites W2294362001 @default.
• W4313203574 cites W2318528603 @default.
• W4313203574 cites W2468203014 @default.
• W4313203574 cites W2552311027 @default.
• W4313203574 cites W2555800441 @default.
• W4313203574 cites W2579302569 @default.
• W4313203574 cites W2612643985 @default.
• W4313203574 cites W2614683497 @default.
• W4313203574 cites W2620839831 @default.
• W4313203574 cites W2724686744 @default.
• W4313203574 cites W2744992965 @default.
• W4313203574 cites W2759087770 @default.
• W4313203574 cites W2791941428 @default.
• W4313203574 cites W2802726551 @default.
• W4313203574 cites W2811064868 @default.
• W4313203574 cites W2887874867 @default.
• W4313203574 cites W2890172403 @default.
• W4313203574 cites W2890486851 @default.
• W4313203574 cites W2891593004 @default.
• W4313203574 cites W2900678331 @default.
• W4313203574 cites W2911765872 @default.
• W4313203574 cites W2912821872 @default.
• W4313203574 cites W2914746486 @default.
• W4313203574 cites W2937694781 @default.
• W4313203574 cites W2989851576 @default.
• W4313203574 cites W3004437882 @default.
• W4313203574 cites W3024236808 @default.
• W4313203574 cites W3033557345 @default.
• W4313203574 cites W3033973630 @default.
• W4313203574 cites W3044189724 @default.
• W4313203574 cites W3088270202 @default.
• W4313203574 cites W3104099693 @default.
• W4313203574 cites W3116822623 @default.
• W4313203574 cites W3128332505 @default.
• W4313203574 cites W3136489902 @default.
• W4313203574 cites W3159305598 @default.
• W4313203574 cites W3171208921 @default.
• W4313203574 cites W3176280961 @default.
• W4313203574 cites W3191407405 @default.
• W4313203574 cites W3198883669 @default.
• W4313203574 cites W3203590351 @default.
• W4313203574 cites W4252593548 @default.
• W4313203574 cites W4293192769 @default.
• W4313203574 doi "https://doi.org/10.1109/tgrs.2022.3232499" @default.
• W4313203574 hasPublicationYear "2023" @default.
• W4313203574 type Work @default.
• W4313203574 citedByCount "0" @default.
• W4313203574 crossrefType "journal-article" @default.
• W4313203574 hasAuthorship W4313203574A5006101106 @default.
• W4313203574 hasAuthorship W4313203574A5022976382 @default.
• W4313203574 hasAuthorship W4313203574A5041246712 @default.
• W4313203574 hasConcept C11413529 @default.
• W4313203574 hasConcept C114614502 @default.
• W4313203574 hasConcept C115961682 @default.
• W4313203574 hasConcept C154945302 @default.
• W4313203574 hasConcept C163294075 @default.
• W4313203574 hasConcept C164226766 @default.
• W4313203574 hasConcept C17744445 @default.
• W4313203574 hasConcept C191795146 @default.
• W4313203574 hasConcept C199539241 @default.
• W4313203574 hasConcept C207282899 @default.
• W4313203574 hasConcept C33923547 @default.
• W4313203574 hasConcept C41008148 @default.
• W4313203574 hasConcept C45357846 @default.
• W4313203574 hasConcept C94375191 @default.
• W4313203574 hasConcept C99498987 @default.
• W4313203574 hasConceptScore W4313203574C11413529 @default.
• W4313203574 hasConceptScore W4313203574C114614502 @default.
• W4313203574 hasConceptScore W4313203574C115961682 @default.
• W4313203574 hasConceptScore W4313203574C154945302 @default.
• W4313203574 hasConceptScore W4313203574C163294075 @default.
• W4313203574 hasConceptScore W4313203574C164226766 @default.
• W4313203574 hasConceptScore W4313203574C17744445 @default.
• W4313203574 hasConceptScore W4313203574C191795146 @default.
• W4313203574 hasConceptScore W4313203574C199539241 @default.
• W4313203574 hasConceptScore W4313203574C207282899 @default.
• W4313203574 hasConceptScore W4313203574C33923547 @default.
• W4313203574 hasConceptScore W4313203574C41008148 @default.
• W4313203574 hasConceptScore W4313203574C45357846 @default.

• next