Matches in SemOpenAlex for { <https://semopenalex.org/work/W3162625481> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W3162625481 endingPage "012024" @default.
- W3162625481 startingPage "012024" @default.
- W3162625481 abstract "The sparse method or better known as compressed sensing (CS), is a method often used for the signal reconstruction process. This method had considered better than conventional methods because it can reconstruct a signal with a smaller amount of data. Many algorithms had used for signal reconstruction using the CS method, including l1-minimization and orthogonal matching pursuit (OMP). In this study, the two algorithms were used for signal reconstruction of underwater objects and then compared to find out which algorithm is better for the signal reconstruction of underwater objects. Comparing the two algorithms had based on parameters in the form of PSNR and RMSE against sparsity. Based on the simulations that had been doing, known that the l1-minimization algorithm can reconstruct signal up to 40% sparsity. Whereas the OMP algorithm can only reconstruct signals up to 30% sparsity. PSNR and RMSE generated from the l1-minimization algorithm show that this algorithm provides better reconstruction results than OMP for underwater object signals. The results obtained show that the best tracking process is at an angle of incidence of 90°." @default.
- W3162625481 created "2021-05-24" @default.
- W3162625481 creator A5011505725 @default.
- W3162625481 creator A5013473552 @default.
- W3162625481 creator A5014542857 @default.
- W3162625481 creator A5065795051 @default.
- W3162625481 creator A5077070719 @default.
- W3162625481 creator A5090148403 @default.
- W3162625481 date "2021-04-01" @default.
- W3162625481 modified "2023-09-30" @default.
- W3162625481 title "Tracking of an underwater source using sparse method" @default.
- W3162625481 cites W1983044959 @default.
- W3162625481 doi "https://doi.org/10.1088/1742-6596/1896/1/012024" @default.
- W3162625481 hasPublicationYear "2021" @default.
- W3162625481 type Work @default.
- W3162625481 sameAs 3162625481 @default.
- W3162625481 citedByCount "0" @default.
- W3162625481 crossrefType "journal-article" @default.
- W3162625481 hasAuthorship W3162625481A5011505725 @default.
- W3162625481 hasAuthorship W3162625481A5013473552 @default.
- W3162625481 hasAuthorship W3162625481A5014542857 @default.
- W3162625481 hasAuthorship W3162625481A5065795051 @default.
- W3162625481 hasAuthorship W3162625481A5077070719 @default.
- W3162625481 hasAuthorship W3162625481A5090148403 @default.
- W3162625481 hasBestOaLocation W31626254811 @default.
- W3162625481 hasConcept C104267543 @default.
- W3162625481 hasConcept C111368507 @default.
- W3162625481 hasConcept C111919701 @default.
- W3162625481 hasConcept C11413529 @default.
- W3162625481 hasConcept C124851039 @default.
- W3162625481 hasConcept C126255220 @default.
- W3162625481 hasConcept C127313418 @default.
- W3162625481 hasConcept C147764199 @default.
- W3162625481 hasConcept C153180895 @default.
- W3162625481 hasConcept C154945302 @default.
- W3162625481 hasConcept C156872377 @default.
- W3162625481 hasConcept C199360897 @default.
- W3162625481 hasConcept C2779843651 @default.
- W3162625481 hasConcept C31972630 @default.
- W3162625481 hasConcept C33923547 @default.
- W3162625481 hasConcept C41008148 @default.
- W3162625481 hasConcept C554190296 @default.
- W3162625481 hasConcept C70958404 @default.
- W3162625481 hasConcept C76155785 @default.
- W3162625481 hasConcept C98045186 @default.
- W3162625481 hasConcept C98083399 @default.
- W3162625481 hasConceptScore W3162625481C104267543 @default.
- W3162625481 hasConceptScore W3162625481C111368507 @default.
- W3162625481 hasConceptScore W3162625481C111919701 @default.
- W3162625481 hasConceptScore W3162625481C11413529 @default.
- W3162625481 hasConceptScore W3162625481C124851039 @default.
- W3162625481 hasConceptScore W3162625481C126255220 @default.
- W3162625481 hasConceptScore W3162625481C127313418 @default.
- W3162625481 hasConceptScore W3162625481C147764199 @default.
- W3162625481 hasConceptScore W3162625481C153180895 @default.
- W3162625481 hasConceptScore W3162625481C154945302 @default.
- W3162625481 hasConceptScore W3162625481C156872377 @default.
- W3162625481 hasConceptScore W3162625481C199360897 @default.
- W3162625481 hasConceptScore W3162625481C2779843651 @default.
- W3162625481 hasConceptScore W3162625481C31972630 @default.
- W3162625481 hasConceptScore W3162625481C33923547 @default.
- W3162625481 hasConceptScore W3162625481C41008148 @default.
- W3162625481 hasConceptScore W3162625481C554190296 @default.
- W3162625481 hasConceptScore W3162625481C70958404 @default.
- W3162625481 hasConceptScore W3162625481C76155785 @default.
- W3162625481 hasConceptScore W3162625481C98045186 @default.
- W3162625481 hasConceptScore W3162625481C98083399 @default.
- W3162625481 hasIssue "1" @default.
- W3162625481 hasLocation W31626254811 @default.
- W3162625481 hasOpenAccess W3162625481 @default.
- W3162625481 hasPrimaryLocation W31626254811 @default.
- W3162625481 hasRelatedWork W2244779222 @default.
- W3162625481 hasRelatedWork W2378166785 @default.
- W3162625481 hasRelatedWork W2382972663 @default.
- W3162625481 hasRelatedWork W2390272603 @default.
- W3162625481 hasRelatedWork W2400779431 @default.
- W3162625481 hasRelatedWork W2541304322 @default.
- W3162625481 hasRelatedWork W2551136801 @default.
- W3162625481 hasRelatedWork W2601968125 @default.
- W3162625481 hasRelatedWork W2964247855 @default.
- W3162625481 hasRelatedWork W4300881421 @default.
- W3162625481 hasVolume "1896" @default.
- W3162625481 isParatext "false" @default.
- W3162625481 isRetracted "false" @default.
- W3162625481 magId "3162625481" @default.
- W3162625481 workType "article" @default.