Convolution and Sampling Theorems for Offset Fractional Fourier Transform

The offset fractional Fourier transform (OFrFT) has emerged as a mathematical tool for time-frequency analysis of non-stationary signals. However, there has been relatively little research on investigating properties including the convolution theorem and the sampling formulas. This paper investigates the new form of convolution theorem and its product theorem associated with the OFrFT. We also establish a sampling formula related to the transformation. Finally, a simple example is displayed to verify the results related to the sampling formula for the OFrFT.

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Publication Details

Journal
Signals
Published
2026-03-03
DOI
https://doi.org/10.3390/signals7020022
Primary Topic
Mathematical Analysis and Transform Methods
Type
article
Field-Weighted Citation Impact
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article

Convolution and Sampling Theorems for Offset Fractional Fourier Transform

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Signals
Mathematical Analysis and Transform Methods
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Convolution and Sampling Theorems for Offset Fractional Fourier Transform

Nasrullah Bachtiar, Samsul Ariffin Abdul Karim, Marni Rezki, Mawardi Bahri, Bannu Addul Samad, Muhammad Zakir
article en

Abstract

The offset fractional Fourier transform (OFrFT) has emerged as a mathematical tool for time-frequency analysis of non-stationary signals. However, there has been relatively little research on investigating properties including the convolution theorem and the sampling formulas. This paper investigates the new form of convolution theorem and its product theorem associated with the OFrFT. We also establish a sampling formula related to the transformation. Finally, a simple example is displayed to verify the results related to the sampling formula for the OFrFT.

SignalsVol. 7(2)
Sumatera Institute of Technology (ID), Northern University of Malaysia (MY), Hasanuddin University (ID)
Openalex Percentile: Top 32%
Mathematical Analysis and Transform Methods
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Convolution and Sampling Theorems for Offset Fractional Fourier Transform — Nasrullah Bachtiar, Samsul Ariffin Abdul Karim, et al. · Signals (2026) | TGRS Research Map | TGRS