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- W2895851720 endingPage "1808" @default.
- W2895851720 startingPage "1808" @default.
- W2895851720 abstract "Estimation of normal modes in an ocean waveguide from acoustic data on a vertical line array involves estimation of mode shapes and their wavenumbers. Since these horizontal mode wavenumbers are sparse, compressive sensing (CS) can solve the sparse signal reconstruction problem with high accuracy. Here, grid-free CS technique, atomic norm minimization (ANM) is used to estimate the horizontal mode wavenumbers and their mode shapes. These mode shapes and wavenumbers can be estimated using the grid-free CS without a priori knowledge of the environment. The grid-free CS successfully extracts mode shapes and wavenumbers even with a partial water column spanning array and even in the case when the mode shape functions are not orthogonal." @default.
- W2895851720 created "2018-10-26" @default.
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- W2895851720 date "2018-09-01" @default.
- W2895851720 modified "2023-10-16" @default.
- W2895851720 title "Compressive normal mode estimation in shallow water" @default.
- W2895851720 doi "https://doi.org/10.1121/1.5067979" @default.
- W2895851720 hasPublicationYear "2018" @default.
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