Signal recovery from partial fractional fourier transform information
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.epage | 220 | en_US |
dc.citation.spage | 217 | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.contributor.author | Özaktaş, H. | en_US |
dc.contributor.author | Özaktaş, Haldun M. | en_US |
dc.coverage.spatial | Hammamet, Tunisia | en_US |
dc.date.accessioned | 2016-02-08T11:53:59Z | |
dc.date.available | 2016-02-08T11:53:59Z | |
dc.date.issued | 2004 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 21-24 March 2004 | en_US |
dc.description | Conference Name: 1st International Symposium on Control, Communications and Signal Processing, IEEE 2004 | en_US |
dc.description.abstract | The fractional Fourier transform has found many applications in signal and image processing and optics. An iterative algorithm for signal recovery from partial fractional Fourier transform information is presented. The signal recovery algorithm is constructed by using the method of projections onto convex sets and convergence of the algorithm is assured. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:53:59Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2004 | en |
dc.identifier.doi | 10.1109/ISCCSP.2004.1296263 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/27457 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | https://doi.org/10.1109/ISCCSP.2004.1296263 | en_US |
dc.source.title | Proceedings of the 1st International Symposium on Control, Communications and Signal Processing, IEEE 2004 | en_US |
dc.subject | Hermite polynomials | en_US |
dc.subject | Iterative algorithms | en_US |
dc.subject | Signal recovery | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Computer simulation | en_US |
dc.subject | Eigenvalues and eigenfunctions | en_US |
dc.subject | Fourier transforms | en_US |
dc.subject | Iterative methods | en_US |
dc.subject | Mathematical operators | en_US |
dc.subject | Matrix algebra | en_US |
dc.subject | Polynomials | en_US |
dc.subject | Signal processing | en_US |
dc.title | Signal recovery from partial fractional fourier transform information | en_US |
dc.type | Conference Paper | en_US |
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