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- W2315231024 abstract "Summary The two-step surface-related multiple elimination (SRME) method has been redefined in a Closed-Loop SRME (CL-SRME) approach. Here, we avoid traditional multiple subtraction from the data, instead, the unknown primaries are estimated directly from the dataset using inversion. The primaries are estimated in such a way that, together with their corresponding multiples, they explain the input data. In this way, multiples contribute to the estimation of the primaries. We propose to extend the CL-SRME algorithm to account for the primary estimation in the case of coarsely sampled data (a typical 3D scenario), in which simultaneous data reconstruction is required to successfully predict the primaries. This is achieved by introducing the focal domain in the CL-SRME method. This algorithm will show its capacity to reconstruct large data gaps and provide confident primary estimations, even in the presence of background noise." @default.
- W2315231024 created "2016-06-24" @default.
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- W2315231024 creator A5047576248 @default.
- W2315231024 date "2014-08-05" @default.
- W2315231024 modified "2023-09-25" @default.
- W2315231024 title "Closed-Loop SRME and its application to data reconstruction" @default.
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- W2315231024 doi "https://doi.org/10.1190/segam2014-1051.1" @default.
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