Uniqueness of Phase Retrieval From Offset Linear Canonical Transform

ABSTRACT The classical phase retrieval refers to the recovery of an unknown signal from its Fourier magnitudes, which is widely used in fields such as quantum mechanics, signal processing, optics, etc. The offset linear canonical transform (OLCT) is a more general type of linear integral transform, including the Fourier transform (FT), the fractional Fourier transform (FRFT), and the linear canonical transform (LCT) as its special cases. Hence, in this paper, we focus on the uniqueness and reconstruction algorithm of phase retrieval in the framework of OLCT. First, we prove that all the nontrivial ambiguities in continuous OLCT phase retrieval can be represented by convolution operators, and demonstrate that a continuous compactly supported signal can be uniquely determined up to a global phase from its multiple magnitude‐only OLCT measurements. Moreover, we investigate the nontrivial ambiguities in the discrete OLCT phase retrieval case. In addition, we demonstrate that a nonseparable function can be uniquely recovered from its magnitudes of short‐time OLCT (STOLCT) up to a global phase. Furthermore, we show that signals which are bandlimited in the FT or OLCT domain can be reconstructed from their sampled STOLCT magnitude measurements, up to a global phase, providing the ambiguity function of the window function satisfies some mild conditions. Finally, we present two reconstruction algorithms for OLCT phase retrieval, namely Gerchberg‐Saxton (GS) algorithm and matrix completion (MC) algorithm, and evaluate their reconstruction performance via numerical simulations.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-01-05
DOI
https://doi.org/10.1002/mma.70454
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
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article

Uniqueness of Phase Retrieval From Offset Linear Canonical Transform

Haiye Huo, Jing Liu
Mathematical Methods in the Applied Sciences
Advanced X-ray Imaging Techniques
article

Uniqueness of Phase Retrieval From Offset Linear Canonical Transform

Haiye Huo, Jing Liu
article en

Abstract

ABSTRACT The classical phase retrieval refers to the recovery of an unknown signal from its Fourier magnitudes, which is widely used in fields such as quantum mechanics, signal processing, optics, etc. The offset linear canonical transform (OLCT) is a more general type of linear integral transform, including the Fourier transform (FT), the fractional Fourier transform (FRFT), and the linear canonical transform (LCT) as its special cases. Hence, in this paper, we focus on the uniqueness and reconstruction algorithm of phase retrieval in the framework of OLCT. First, we prove that all the nontrivial ambiguities in continuous OLCT phase retrieval can be represented by convolution operators, and demonstrate that a continuous compactly supported signal can be uniquely determined up to a global phase from its multiple magnitude‐only OLCT measurements. Moreover, we investigate the nontrivial ambiguities in the discrete OLCT phase retrieval case. In addition, we demonstrate that a nonseparable function can be uniquely recovered from its magnitudes of short‐time OLCT (STOLCT) up to a global phase. Furthermore, we show that signals which are bandlimited in the FT or OLCT domain can be reconstructed from their sampled STOLCT magnitude measurements, up to a global phase, providing the ambiguity function of the window function satisfies some mild conditions. Finally, we present two reconstruction algorithms for OLCT phase retrieval, namely Gerchberg‐Saxton (GS) algorithm and matrix completion (MC) algorithm, and evaluate their reconstruction performance via numerical simulations.

Mathematical Methods in the Applied Sciences
Nanchang University (CN)
Openalex Percentile: Top 95%
Advanced X-ray Imaging Techniques
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