Condition number in recovery of signals from partial fractional fourier domain information
dc.contributor.author | Oktem F. S. | en_US |
dc.contributor.author | Özaktaş, Haldun M. | en_US |
dc.coverage.spatial | Arlington, Virginia United States | |
dc.date.accessioned | 2016-02-08T12:05:25Z | |
dc.date.available | 2016-02-08T12:05:25Z | |
dc.date.issued | 2013-06 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of conference: 23–27 June, 2013 | |
dc.description | Conference name: Adaptive Optics: Methods, Analysis and Applications 2013 | |
dc.description.abstract | The problem of estimating unknown signal samples from partial measurements in fractional Fourier domains arises in wave propagation. By using the condition number of the inverse problem as a measure of redundant information, we analyze the effect of the number of known samples and their distributions. | en_US |
dc.identifier.doi | 10.1364/AOPT.2013.JTu4A.18 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/27925 | en_US |
dc.language.iso | English | en_US |
dc.publisher | Optical Society of America | en_US |
dc.relation.isversionof | https://doi.org/10.1364/AOPT.2013.JTu4A.18 | |
dc.source.title | Adaptive optics: methods, analysis and applications (AO) | en_US |
dc.subject | Condition numbers | en_US |
dc.subject | Fractional Fourier domains | en_US |
dc.subject | Inverse problems | en_US |
dc.subject | Medical imaging | en_US |
dc.subject | Wave propagation | en_US |
dc.subject | Number theory | en_US |
dc.title | Condition number in recovery of signals from partial fractional fourier domain information | en_US |
dc.type | Conference Paper | en_US |
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