Fast Linear Canonical Transform for Nonequispaced Data

The investigations of the discrete and fast linear canonical transform (LCT) are becoming one of the hottest research topics in modern signal processing and optics. Among them, the fast calculation of LCT for non-uniform data is one of key problems. Focus on this problem, a new fast algorithm of the...

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Main Authors: Yannan Sun, Wenchao Qian
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/7/5/353
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author Yannan Sun
Wenchao Qian
author_facet Yannan Sun
Wenchao Qian
author_sort Yannan Sun
collection DOAJ
description The investigations of the discrete and fast linear canonical transform (LCT) are becoming one of the hottest research topics in modern signal processing and optics. Among them, the fast calculation of LCT for non-uniform data is one of key problems. Focus on this problem, a new fast algorithm of the LCT has been proposed in this paper firstly by interpolation and approximation theory. The proposed algorithms can calculate quickly the LCT of the data, whether the input or output data is uniform. Secondly, the complexity and precision of derived algorithms have been analyzed for different situations. Finally, the experimental results are presented to verify the correctness of the obtained results.
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spelling doaj.art-64d757073e59464fafa7c0bb010f24fd2023-11-18T01:25:55ZengMDPI AGFractal and Fractional2504-31102023-04-017535310.3390/fractalfract7050353Fast Linear Canonical Transform for Nonequispaced DataYannan Sun0Wenchao Qian1School of Mathematics, Jiangsu University, Zhenjiang 212013, ChinaSchool of Mathematics, Jiangsu University, Zhenjiang 212013, ChinaThe investigations of the discrete and fast linear canonical transform (LCT) are becoming one of the hottest research topics in modern signal processing and optics. Among them, the fast calculation of LCT for non-uniform data is one of key problems. Focus on this problem, a new fast algorithm of the LCT has been proposed in this paper firstly by interpolation and approximation theory. The proposed algorithms can calculate quickly the LCT of the data, whether the input or output data is uniform. Secondly, the complexity and precision of derived algorithms have been analyzed for different situations. Finally, the experimental results are presented to verify the correctness of the obtained results.https://www.mdpi.com/2504-3110/7/5/353linear canonical transformfast fourier transforminterpolationapproximation theorylinear canonical series
spellingShingle Yannan Sun
Wenchao Qian
Fast Linear Canonical Transform for Nonequispaced Data
Fractal and Fractional
linear canonical transform
fast fourier transform
interpolation
approximation theory
linear canonical series
title Fast Linear Canonical Transform for Nonequispaced Data
title_full Fast Linear Canonical Transform for Nonequispaced Data
title_fullStr Fast Linear Canonical Transform for Nonequispaced Data
title_full_unstemmed Fast Linear Canonical Transform for Nonequispaced Data
title_short Fast Linear Canonical Transform for Nonequispaced Data
title_sort fast linear canonical transform for nonequispaced data
topic linear canonical transform
fast fourier transform
interpolation
approximation theory
linear canonical series
url https://www.mdpi.com/2504-3110/7/5/353
work_keys_str_mv AT yannansun fastlinearcanonicaltransformfornonequispaceddata
AT wenchaoqian fastlinearcanonicaltransformfornonequispaceddata