Matches in SemOpenAlex for { <https://semopenalex.org/work/W3033990150> ?p ?o ?g. }
- W3033990150 endingPage "3739" @default.
- W3033990150 startingPage "3729" @default.
- W3033990150 abstract "The horizontal wavenumbers and modal depth functions are estimated by block sparse Bayesian learning (BSBL) for broadband signals received by a vertical line array in shallow-water waveguides. The dictionary matrix consists of multi-frequency modal depth functions derived from shooting methods given a large set of hypothetical horizontal wavenumbers. The dispersion relation for multi-frequency horizontal wavenumbers is also taken into account to generate the dictionary. In this dictionary, only a few of the entries are used to describe the pressure field. These entries represent the modal depth functions and associated wavenumbers. With the constraint of block sparsity, the BSBL approach is shown to retrieve the horizontal wavenumbers and corresponding modal depth functions with high precision, while a priori knowledge of sea bottom, moving source, and source locations is not needed. The performance is demonstrated by simulations and experimental data." @default.
- W3033990150 created "2020-06-12" @default.
- W3033990150 creator A5002045094 @default.
- W3033990150 creator A5004718675 @default.
- W3033990150 creator A5014351280 @default.
- W3033990150 creator A5031507259 @default.
- W3033990150 creator A5051022542 @default.
- W3033990150 creator A5056484501 @default.
- W3033990150 creator A5064713558 @default.
- W3033990150 date "2020-06-01" @default.
- W3033990150 modified "2023-10-16" @default.
- W3033990150 title "Block sparse Bayesian learning for broadband mode extraction in shallow water from a vertical array" @default.
- W3033990150 cites W1585522917 @default.
- W3033990150 cites W1966829130 @default.
- W3033990150 cites W1993904219 @default.
- W3033990150 cites W1995248466 @default.
- W3033990150 cites W1997243708 @default.
- W3033990150 cites W2000566160 @default.
- W3033990150 cites W2008494216 @default.
- W3033990150 cites W2010065805 @default.
- W3033990150 cites W2013505757 @default.
- W3033990150 cites W2017091438 @default.
- W3033990150 cites W2020269233 @default.
- W3033990150 cites W2023288676 @default.
- W3033990150 cites W2043214077 @default.
- W3033990150 cites W2043494783 @default.
- W3033990150 cites W2062460851 @default.
- W3033990150 cites W2079834316 @default.
- W3033990150 cites W2086933291 @default.
- W3033990150 cites W2089419412 @default.
- W3033990150 cites W2092335072 @default.
- W3033990150 cites W2117207477 @default.
- W3033990150 cites W2126764508 @default.
- W3033990150 cites W2134382801 @default.
- W3033990150 cites W2146000945 @default.
- W3033990150 cites W2152279006 @default.
- W3033990150 cites W2164280718 @default.
- W3033990150 cites W2264961722 @default.
- W3033990150 cites W2596433561 @default.
- W3033990150 cites W2602665927 @default.
- W3033990150 cites W2615392485 @default.
- W3033990150 cites W2900338801 @default.
- W3033990150 cites W2917065813 @default.
- W3033990150 cites W2924335193 @default.
- W3033990150 cites W3004500070 @default.
- W3033990150 cites W3010818268 @default.
- W3033990150 cites W3013791807 @default.
- W3033990150 cites W3014801121 @default.
- W3033990150 cites W3098352114 @default.
- W3033990150 cites W4231260944 @default.
- W3033990150 cites W2009696239 @default.
- W3033990150 doi "https://doi.org/10.1121/10.0001322" @default.
- W3033990150 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32611184" @default.
- W3033990150 hasPublicationYear "2020" @default.
- W3033990150 type Work @default.
- W3033990150 sameAs 3033990150 @default.
- W3033990150 citedByCount "27" @default.
- W3033990150 countsByYear W30339901502020 @default.
- W3033990150 countsByYear W30339901502021 @default.
- W3033990150 countsByYear W30339901502022 @default.
- W3033990150 countsByYear W30339901502023 @default.
- W3033990150 crossrefType "journal-article" @default.
- W3033990150 hasAuthorship W3033990150A5002045094 @default.
- W3033990150 hasAuthorship W3033990150A5004718675 @default.
- W3033990150 hasAuthorship W3033990150A5014351280 @default.
- W3033990150 hasAuthorship W3033990150A5031507259 @default.
- W3033990150 hasAuthorship W3033990150A5051022542 @default.
- W3033990150 hasAuthorship W3033990150A5056484501 @default.
- W3033990150 hasAuthorship W3033990150A5064713558 @default.
- W3033990150 hasConcept C111472728 @default.
- W3033990150 hasConcept C11413529 @default.
- W3033990150 hasConcept C120665830 @default.
- W3033990150 hasConcept C121130766 @default.
- W3033990150 hasConcept C121332964 @default.
- W3033990150 hasConcept C127313418 @default.
- W3033990150 hasConcept C138885662 @default.
- W3033990150 hasConcept C145177509 @default.
- W3033990150 hasConcept C188027245 @default.
- W3033990150 hasConcept C192562407 @default.
- W3033990150 hasConcept C24890656 @default.
- W3033990150 hasConcept C2524010 @default.
- W3033990150 hasConcept C2777210771 @default.
- W3033990150 hasConcept C33923547 @default.
- W3033990150 hasConcept C41008148 @default.
- W3033990150 hasConcept C509933004 @default.
- W3033990150 hasConcept C71139939 @default.
- W3033990150 hasConcept C75553542 @default.
- W3033990150 hasConcept C76155785 @default.
- W3033990150 hasConceptScore W3033990150C111472728 @default.
- W3033990150 hasConceptScore W3033990150C11413529 @default.
- W3033990150 hasConceptScore W3033990150C120665830 @default.
- W3033990150 hasConceptScore W3033990150C121130766 @default.
- W3033990150 hasConceptScore W3033990150C121332964 @default.
- W3033990150 hasConceptScore W3033990150C127313418 @default.
- W3033990150 hasConceptScore W3033990150C138885662 @default.
- W3033990150 hasConceptScore W3033990150C145177509 @default.
- W3033990150 hasConceptScore W3033990150C188027245 @default.
- W3033990150 hasConceptScore W3033990150C192562407 @default.