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Suppl. Mater.: 

CLC number: O236

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2021-01-18

Cited: 0

Clicked: 6416

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Xiaoxiao HU

https://orcid.org/0000-0003-1866-0413

Kit Ian KOU

https://orcid.org/0000-0003-1924-9087

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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.3 P.463-478

http://doi.org/10.1631/FITEE.2000499


Sampling formulas for 2D quaternionic signals associated with various quaternion Fourier and linear canonical transforms


Author(s):  Xiaoxiao HU, Dong CHENG, Kit Ian KOU

Affiliation(s):  The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou 325000, China; more

Corresponding email(s):   huxiaoxiao3650@163.com

Key Words:  Quaternion Fourier transforms, Quaternion linear canonical transforms, Sampling theorem, Quaternion partial and total Hilbert transforms, Generalized quaternion partial and total Hilbert transforms, Truncation errors



Abstract: 
The main purpose of this paper is to study different types of sampling formulas of quaternionic functions, which are bandlimited under various quaternion Fourier and linear canonical transforms. We show that the quaternionic bandlimited functions can be reconstructed from their samples as well as the samples of their derivatives and Hilbert transforms. In addition, the relationships among different types of sampling formulas under various transforms are discussed. First, if the quaternionic function is bandlimited to a rectangle that is symmetric about the origin, then the sampling formulas under various quaternion Fourier transforms are identical. If this rectangle is not symmetric about the origin, then the sampling formulas under various quaternion Fourier transforms are different from each other. Second, using the relationship between the two-sided quaternion Fourier transform and the linear canonical transform, we derive sampling formulas under various quaternion linear canonical transforms. Third, truncation errors of these sampling formulas are estimated. Finally, some simulations are provided to show how the sampling formulas can be used in applications.

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