Compressive split-step Fourier method
dc.authorid | 0000-0002-3654-0469 | |
dc.contributor.author | Bayındır, Cihan | en_US |
dc.date.accessioned | 2019-06-27T15:45:29Z | |
dc.date.available | 2019-06-27T15:45:29Z | |
dc.date.issued | 2015-02-09 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Civil Engineering | en_US |
dc.description.abstract | In this paper an approach for decreasing the computational effort required for the split-step Fourier method (SSFM) is introduced. It is shown that using the sparsity property of the simulated signals, the compressive sampling algorithm can be used as a very efficient tool for the split-step spectral simulations of various phenomena which can be modeled by using differential equations. The proposed method depends on the idea of using a smaller number of spectral components compared to the classical split-step Fourier method with a high number of components. After performing the time integration with a smaller number of spectral components and using the compressive sampling technique with l(1) minimization, it is shown that the sparse signal can be reconstructed with a significantly better efficiency compared to the classical split-step Fourier method. Proposed method can be named as compressive split-step Fourier method (CSSFM). For testing of the proposed method the Nonlinear Schrodinger Equation and its one-soliton and two-soliton solutions are considered. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Bayındır, C. (2015). Compressive split-step Fourier method. TWMS Journal of Applied and Engineering Mathematics, 5(2), 298-306. | en_US |
dc.identifier.endpage | 306 | |
dc.identifier.issn | 2146-1147 | |
dc.identifier.issn | 2587-1013 | |
dc.identifier.issue | 2 | |
dc.identifier.startpage | 298 | |
dc.identifier.uri | https://hdl.handle.net/11729/1625 | |
dc.identifier.uri | https://search.trdizin.gov.tr/tr/yayin/detay/192544 | |
dc.identifier.uri | http://jaem.isikun.edu.tr/web/index.php/archive/90-vol5no2/225 | |
dc.identifier.volume | 5 | |
dc.identifier.wos | WOS:000377696600013 | |
dc.identifier.wosquality | Q4 | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | TR-Dizin | en_US |
dc.indekslendigikaynak | Emerging Sources Citation Index (ESCI) | en_US |
dc.institutionauthor | Bayındır, Cihan | en_US |
dc.institutionauthorid | 0000-0002-3654-0469 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Işık University Press | en_US |
dc.relation.ispartof | TWMS Journal of Applied and Engineering Mathematics | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Compressive sampling | en_US |
dc.subject | Nonlinear Schrodinger equation | en_US |
dc.subject | Sparse signals | en_US |
dc.subject | Split step Fourier method | en_US |
dc.subject | Equation | en_US |
dc.title | Compressive split-step Fourier method | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |