Archivio Istituzionale della RicercaDirectional transforms have recently raised a lot of interest thanks to their numerous applications in signal compression and analysis. In this letter, we introduce a generalization of the discrete Fourier transform (DFT), called steerable DFT (SDFT). Since the DFT is used in numerous fields, it may be of interest in a wide range of applications. Moreover, we also show that the SDFT is highly related to other well-known transforms, such as the Fourier sine and cosine transforms and the Hilbert transforms.
Steerable Discrete Fourier Transform / Fracastoro, Giulia; Magli, Enrico. - In: IEEE SIGNAL PROCESSING LETTERS. - ISSN 1070-9908. - STAMPA. - 24:3(2017), pp. 319-323. [10.1109/LSP.2017.2657889]
Steerable Discrete Fourier Transform
FRACASTORO, GIULIA;MAGLI, ENRICO
2017
Abstract
Directional transforms have recently raised a lot of interest thanks to their numerous applications in signal compression and analysis. In this letter, we introduce a generalization of the discrete Fourier transform (DFT), called steerable DFT (SDFT). Since the DFT is used in numerous fields, it may be of interest in a wide range of applications. Moreover, we also show that the SDFT is highly related to other well-known transforms, such as the Fourier sine and cosine transforms and the Hilbert transforms.
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https://hdl.handle.net/11583/2672216
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