FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2903594137> ?p ?o ?g. }

• W2903594137 endingPage "115" @default.
• W2903594137 startingPage "105" @default.
• W2903594137 abstract "Abstract Seismic noise suppression is an important step in the seismic imaging community. We propose a variational mode decomposition (VMD) based method to attenuate spatially incoherent random noise. The VMD method has a solid theoretical foundation of mathematics and high calculation efficiency. Besides, compared with the recursive mode decomposition algorithms, e.g., the EMD and EEMD methods, it has advantages in solving the mode mixing problem and more powerful anti-noise performance. The VMD method can adaptively decompose a seismic signal into several intrinsic mode functions (IMF). Removing the highly oscillating IMF components can suppress the high frequency/wavenumber noise. However, the VMD algorithm has a drawback that the mode number needs to be set artificially before decomposition. The mode number is difficult to estimate when a signal is a complex nonlinear and non-stationary one. Thus, the signal is still coupled in low frequency/wavenumber noise. Thereupon, the singular spectrum analysis (SSA) algorithm is applied to filter the low-frequency/wavenumber noise. In this paper, a simulated seismic dataset and a real seismic dataset are analyzed by the proposed algorithm. The results indicate that the proposed algorithm is robust to noise and has high de-noising precision." @default.
• W2903594137 created "2018-12-22" @default.
• W2903594137 creator A5064741153 @default.
• W2903594137 creator A5090428405 @default.
• W2903594137 date "2019-02-01" @default.
• W2903594137 modified "2023-09-24" @default.
• W2903594137 title "A hybrid method for noise suppression using variational mode decomposition and singular spectrum analysis" @default.
• W2903594137 cites W1498924937 @default.
• W2903594137 cites W1966299889 @default.
• W2903594137 cites W1969339404 @default.
• W2903594137 cites W1973820033 @default.
• W2903594137 cites W1979732575 @default.
• W2903594137 cites W1997504471 @default.
• W2903594137 cites W2000982976 @default.
• W2903594137 cites W2021734622 @default.
• W2903594137 cites W2025727209 @default.
• W2903594137 cites W2028465481 @default.
• W2903594137 cites W2031116815 @default.
• W2903594137 cites W2039873829 @default.
• W2903594137 cites W2054198069 @default.
• W2903594137 cites W2056472981 @default.
• W2903594137 cites W2092231728 @default.
• W2903594137 cites W2120390927 @default.
• W2903594137 cites W2133015712 @default.
• W2903594137 cites W2135055265 @default.
• W2903594137 cites W2138354688 @default.
• W2903594137 cites W2152582233 @default.
• W2903594137 cites W2177432006 @default.
• W2903594137 cites W2182747765 @default.
• W2903594137 cites W2234488275 @default.
• W2903594137 cites W2245188166 @default.
• W2903594137 cites W2249210872 @default.
• W2903594137 cites W2281461674 @default.
• W2903594137 cites W2282024151 @default.
• W2903594137 cites W2321070099 @default.
• W2903594137 cites W2323462082 @default.
• W2903594137 cites W2336215657 @default.
• W2903594137 cites W2344237992 @default.
• W2903594137 cites W2403664921 @default.
• W2903594137 cites W2412205031 @default.
• W2903594137 cites W2416739439 @default.
• W2903594137 cites W2468203014 @default.
• W2903594137 cites W2475005008 @default.
• W2903594137 cites W2476695889 @default.
• W2903594137 cites W2483676302 @default.
• W2903594137 cites W2488314661 @default.
• W2903594137 cites W2502730268 @default.
• W2903594137 cites W2531893391 @default.
• W2903594137 cites W2541764002 @default.
• W2903594137 cites W2555800441 @default.
• W2903594137 cites W2556875598 @default.
• W2903594137 cites W2562289992 @default.
• W2903594137 cites W2579302569 @default.
• W2903594137 cites W2583545691 @default.
• W2903594137 cites W2589711447 @default.
• W2903594137 cites W2590877170 @default.
• W2903594137 cites W2591893663 @default.
• W2903594137 cites W2602807606 @default.
• W2903594137 cites W2608562242 @default.
• W2903594137 cites W2609386560 @default.
• W2903594137 cites W2620739668 @default.
• W2903594137 cites W2620839831 @default.
• W2903594137 cites W2685814263 @default.
• W2903594137 cites W2702787849 @default.
• W2903594137 cites W2741984561 @default.
• W2903594137 cites W2742592974 @default.
• W2903594137 cites W2744272590 @default.
• W2903594137 cites W2752006643 @default.
• W2903594137 cites W2753932103 @default.
• W2903594137 cites W2759087770 @default.
• W2903594137 cites W2763474475 @default.
• W2903594137 cites W2767660909 @default.
• W2903594137 cites W2771375631 @default.
• W2903594137 cites W2774094138 @default.
• W2903594137 cites W2774364940 @default.
• W2903594137 cites W2789838771 @default.
• W2903594137 cites W2790849013 @default.
• W2903594137 cites W2791378034 @default.
• W2903594137 cites W2791699299 @default.
• W2903594137 cites W2793163690 @default.
• W2903594137 cites W2794182965 @default.
• W2903594137 cites W2796445688 @default.
• W2903594137 cites W2799914480 @default.
• W2903594137 cites W2801139135 @default.
• W2903594137 cites W2802174336 @default.
• W2903594137 cites W2888525203 @default.
• W2903594137 cites W2889915257 @default.
• W2903594137 cites W2897137065 @default.
• W2903594137 cites W3109176126 @default.
• W2903594137 cites W4240087098 @default.
• W2903594137 cites W4244300305 @default.
• W2903594137 cites W4244516614 @default.
• W2903594137 cites W602097506 @default.
• W2903594137 doi "https://doi.org/10.1016/j.jappgeo.2018.10.025" @default.
• W2903594137 hasPublicationYear "2019" @default.
• W2903594137 type Work @default.
• W2903594137 sameAs 2903594137 @default.
• W2903594137 citedByCount "12" @default.

• next