Analysis of the principal component algorithm in phase-shifting interferometry
| dc.contributor.author | Quiroga Mellado, Juan Antonio | |
| dc.contributor.author | Vargas Balbuena, Javier | |
| dc.contributor.author | Belenguer Dávila, Tomás | |
| dc.date.accessioned | 2023-06-20T03:34:22Z | |
| dc.date.available | 2023-06-20T03:34:22Z | |
| dc.date.issued | 2011-06-15 | |
| dc.description | © 2011 The Optical Society Of America | |
| dc.description.abstract | We recently presented a new asynchronous demodulation method for phase-sampling interferometry. The method is based in the principal component analysis (PCA) technique. In the former work, the PCA method was derived heuristically. In this work, we present an in-depth analysis of the PCA demodulation method. | |
| dc.description.department | Depto. de Óptica | |
| dc.description.faculty | Fac. de Ciencias Físicas | |
| dc.description.refereed | TRUE | |
| dc.description.status | pub | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/22213 | |
| dc.identifier.doi | 10.1364/OL.36.002215 | |
| dc.identifier.issn | 0146-9592 | |
| dc.identifier.officialurl | http://dx.doi.org/10.1364/OL.36.002215 | |
| dc.identifier.relatedurl | http://www.opticsinfobase.org/ | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/43915 | |
| dc.issue.number | 12 | |
| dc.journal.title | Optics Letters | |
| dc.language.iso | eng | |
| dc.page.final | 2217 | |
| dc.page.initial | 2215 | |
| dc.publisher | The Optical Society Of America | |
| dc.rights.accessRights | open access | |
| dc.subject.cdu | 535 | |
| dc.subject.keyword | Optics | |
| dc.subject.ucm | Óptica (Física) | |
| dc.subject.unesco | 2209.19 Óptica Física | |
| dc.title | Analysis of the principal component algorithm in phase-shifting interferometry | |
| dc.type | journal article | |
| dc.volume.number | 36 | |
| dcterms.references | 1. J. Vargas, J. A. Quiroga, and T. Belenguer, Opt. Lett. 36, 1326 (2011). 2. http://en.wikipedia.org/wiki/Principal_component_analysis. 3. R. C. González and R. E. Woods, Digital Image Processing, 3rd ed. (Prentice Hall, 2007). 4. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. (Cambridge U. Press, 2004). 5. G. H. Golum and C. F. Van Loan, Matrix Computations, 3rd ed. (Johns Hopkins U. Press, 1996). 6. Z. Y. Wang and B. T. Han, Opt. Lett. 29, 1671 (2004). | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 1c171089-8e25-448f-bcce-28d030f8f43a | |
| relation.isAuthorOfPublication | 6ccb1e60-8b61-4b23-8a0a-09af30f7b795 | |
| relation.isAuthorOfPublication | 5a8cfd67-3d9a-48ad-8819-2e3b9e7da48d | |
| relation.isAuthorOfPublication.latestForDiscovery | 1c171089-8e25-448f-bcce-28d030f8f43a |
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