Sampling and discrete linear canonical transforms
dc.citation.epage | 256 | en_US |
dc.citation.spage | 241 | en_US |
dc.contributor.author | Healy, J. J. | en_US |
dc.contributor.author | Özaktaş, Haldun M. | en_US |
dc.contributor.editor | Healy, J. J. | |
dc.contributor.editor | Kutay, M. A. | |
dc.contributor.editor | Özaktaş, Haldun M. | |
dc.contributor.editor | Sheridan, J. T. | |
dc.date.accessioned | 2019-04-19T12:46:48Z | |
dc.date.available | 2019-04-19T12:46:48Z | |
dc.date.issued | 2016 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Chapter 8 | |
dc.description.abstract | A discrete linear canonical transform would facilitate numerical calculations in many applications in signal processing, scalar wave optics, and nuclear physics. The question is how to define a discrete transform so that it not only approximates the continuous transform well, but also constitutes a discrete transform in its own right, being complete, unitary, etc. The key idea is that the LCT of a discrete signal consists of modulated replicas. Based on that result, it is possible to define a discrete transform that has many desirable properties. This discrete transform is compatible with certain algorithms more than others. | en_US |
dc.description.provenance | Submitted by Zeynep Aykut (zeynepay@bilkent.edu.tr) on 2019-04-19T12:46:48Z No. of bitstreams: 1 Sampling_and_discrete_linear_canonical_transforms.pdf: 314242 bytes, checksum: 384cf919dc508d6e7562796554416fe9 (MD5) | en |
dc.description.provenance | Made available in DSpace on 2019-04-19T12:46:48Z (GMT). No. of bitstreams: 1 Sampling_and_discrete_linear_canonical_transforms.pdf: 314242 bytes, checksum: 384cf919dc508d6e7562796554416fe9 (MD5) Previous issue date: 2016 | en |
dc.identifier.doi | 10.1007/978-1-4939-3028-9_8 | en_US |
dc.identifier.doi | 10.1007/978-1-4939-3028-9 | en_US |
dc.identifier.eisbn | 9781493930289 | |
dc.identifier.isbn | 9781493930272 | |
dc.identifier.uri | http://hdl.handle.net/11693/50848 | |
dc.language.iso | English | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Linear canonical transforms: theory and applications | en_US |
dc.relation.ispartofseries | Springer Series in Optical Sciences;198 | |
dc.relation.isversionof | https://doi.org/10.1007/978-1-4939-3028-9_8 | en_US |
dc.relation.isversionof | https://doi.org/10.1007/978-1-4939-3028-9 | en_US |
dc.subject | Fast fourier transform | en_US |
dc.subject | Discrete fourier transform | en_US |
dc.subject | Sampling theorem | en_US |
dc.subject | Fourier domain | en_US |
dc.subject | Continuous signal | en_US |
dc.title | Sampling and discrete linear canonical transforms | en_US |
dc.type | Book Chapter | en_US |
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