Matches in SemOpenAlex for { <https://semopenalex.org/work/W2977451572> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W2977451572 endingPage "025009" @default.
- W2977451572 startingPage "025009" @default.
- W2977451572 abstract "We consider the acoustic source imaging problems in $R^n$ using multiple frequency data at sparse directions/points. Using at most $n$ observation directions/points, we show that the size and location of the source can be recovered. A non-iterative method is then proposed to image the source. The method is simple to implement and extremely fast since it only computes an indicator function on the domain of interest using matrix vector multiplications. Numerical examples are presented to validate the effectiveness of the method." @default.
- W2977451572 created "2019-10-10" @default.
- W2977451572 creator A5026154755 @default.
- W2977451572 creator A5035168940 @default.
- W2977451572 creator A5054679759 @default.
- W2977451572 creator A5074271764 @default.
- W2977451572 date "2020-01-23" @default.
- W2977451572 modified "2023-10-17" @default.
- W2977451572 title "Fast acoustic source imaging using multi-frequency sparse data" @default.
- W2977451572 cites W1523113578 @default.
- W2977451572 cites W1966675100 @default.
- W2977451572 cites W1982369087 @default.
- W2977451572 cites W1983993339 @default.
- W2977451572 cites W2002094534 @default.
- W2977451572 cites W2029211299 @default.
- W2977451572 cites W2030855065 @default.
- W2977451572 cites W2157947471 @default.
- W2977451572 cites W2333009883 @default.
- W2977451572 cites W2768108891 @default.
- W2977451572 cites W57564022 @default.
- W2977451572 cites W794618056 @default.
- W2977451572 doi "https://doi.org/10.1088/1361-6420/ab4aec" @default.
- W2977451572 hasPublicationYear "2020" @default.
- W2977451572 type Work @default.
- W2977451572 sameAs 2977451572 @default.
- W2977451572 citedByCount "26" @default.
- W2977451572 countsByYear W29774515722019 @default.
- W2977451572 countsByYear W29774515722020 @default.
- W2977451572 countsByYear W29774515722021 @default.
- W2977451572 countsByYear W29774515722022 @default.
- W2977451572 countsByYear W29774515722023 @default.
- W2977451572 crossrefType "journal-article" @default.
- W2977451572 hasAuthorship W2977451572A5026154755 @default.
- W2977451572 hasAuthorship W2977451572A5035168940 @default.
- W2977451572 hasAuthorship W2977451572A5054679759 @default.
- W2977451572 hasAuthorship W2977451572A5074271764 @default.
- W2977451572 hasBestOaLocation W29774515722 @default.
- W2977451572 hasConcept C121332964 @default.
- W2977451572 hasConcept C24890656 @default.
- W2977451572 hasConcept C33923547 @default.
- W2977451572 hasConceptScore W2977451572C121332964 @default.
- W2977451572 hasConceptScore W2977451572C24890656 @default.
- W2977451572 hasConceptScore W2977451572C33923547 @default.
- W2977451572 hasFunder F4320321001 @default.
- W2977451572 hasIssue "2" @default.
- W2977451572 hasLocation W29774515721 @default.
- W2977451572 hasLocation W29774515722 @default.
- W2977451572 hasOpenAccess W2977451572 @default.
- W2977451572 hasPrimaryLocation W29774515721 @default.
- W2977451572 hasRelatedWork W1974891317 @default.
- W2977451572 hasRelatedWork W2011289816 @default.
- W2977451572 hasRelatedWork W2044189972 @default.
- W2977451572 hasRelatedWork W2061531152 @default.
- W2977451572 hasRelatedWork W2069964982 @default.
- W2977451572 hasRelatedWork W2313400459 @default.
- W2977451572 hasRelatedWork W2911598644 @default.
- W2977451572 hasRelatedWork W2965437270 @default.
- W2977451572 hasRelatedWork W4225152035 @default.
- W2977451572 hasRelatedWork W4245490552 @default.
- W2977451572 hasVolume "36" @default.
- W2977451572 isParatext "false" @default.
- W2977451572 isRetracted "false" @default.
- W2977451572 magId "2977451572" @default.
- W2977451572 workType "article" @default.