Abstract
In this work, we introduce the quaternion linear canonical S-transform, which is a generalization of the linear canonical S-transform using quaternion. We investigate its properties and seek the different types of uncertainty principles related to this transformation. The obtained results can be looked as an extension of the uncertainty principles for the quaternion linear canonical transform and the quaternion windowed linear canonical transform.
1. Introduction
Over the last few years, the study of the quaternion Fourier transform and many other generalized transforms has become a new research topic. There are several published papers that try to study various transformations using quaternion algebra. For example, the authors of [,,,] have studied the quaternion windowed transform and corresponding uncertainty principle. In [,], the authors have developed the shearlet transform and the linear canonical using wavelet transform over a quaternion field, which are the generalizations of shearlet transform and the linear canonical wavelet transform. The authors of [,,] have studied the quaternion Wigner–Ville distribution and quaternion ambiguity function, respectively. Further, in [,,], several researchers have studied the Wigner–Ville distribution associated with the linear canonical transform and its application to noisy linear frequency-modulated signals. In [,], the authors have proposed the linear canonical S-transform (LCST), which is a non-trivial generalization of the classical S-transform in the context of the linear canonical transform (LCT). It is well-established that several fundamental properties of the classical S-transform, such as linearity, modulation, shifting, and uncertainty principles, can be applied to the LCST (see, e.g., [,]). Recently, in [], the authors made significant strides in studying the quaternion linear canonical S-transform (QLCST), which can be looked as the extension of the linear canonical S-transform. Additionally, they also have derived several uncertainty principles, such as the Heisenberg-type and logarithmic uncertainty principles. However, many other uncertainty principles related to the new extended transformation like Pitt’s inequality and the sharp Hausdorff–Young inequality remain unexplored.
Therefore, in the present work, we extend the investigation initiated in [] to gain a deeper understanding of the quaternion linear canonical S-transform (QLCST). We thoroughly demonstrate several fundamental properties related to this proposed transformation. It is known that the uncertainty principles are important properties and their specifics form each transformation, including the QLCST. Based on the properties, we build different types of the uncertainty principles associated with the QLCST, such as Pitt’s inequality and the Hausdorff–Young inequality. The important relations can be regarded as a non-trivial generalization of the uncertainty principles concerning the quaternion linear canonical transform (QLCT) and the quaternion windowed linear canonical transform (QWLCT). We emphasize that the considered uncertainty principles associated with the QLCST are a continuation the ones proposed in [].
The main body of this paper is organized as follows: Section 2 compiles essential facts about quaternion algebra and its properties. This section also defines the quaternion Fourier transform (QFT) and outlines its useful properties. Section 3 provides a brief overview of the quaternion linear canonical transform (QLCT) and its connection to the QFT. Section 4 introduces the quaternion linear canonical S-transform (QLCST) and derives several fundamental properties and uncertainty principles related to this transformation. Lastly, Section 5 concludes this work.
2. Preliminaries
In this section, we discuss quaternion algebra and the quaternion Fourier transform, which serve as a backbone throughout this paper.
2.1. Quaternion Algebra
Let be the associative algebra of real quaternions. The quaternion can be written in the form []
where we use to denote the set of real numbers. Here, the three different imaginary quaternion units and satisfy the multiplication rules:
Equation (2) tells us that the multiplication in is not commutative. For any , it takes the form
where and denote the scalar part and vector part or pure quaternion, respectively.
The quaternion conjugate is described through
It satisfies
For every , we may write the scalar and vector parts in the form
The module (norm) of quaternion q is defined by the formula
It is straightforward to verify that for every , the following holds:
2.2. Two-Sided Quaternion Fourier Transform
In this subsection, we start by defining the two-sided quaternion Fourier transform (QFT). We summarize several properties, which will be needed later. A complete account of the QFT and its properties can be found in [,,,,].
Definition 1
([,]). Given g in , the definition of the two-sided quaternion Fourier transform of g is described through
The following definition presents the pointwise inversion of the QFT, which states that the original quaternion function can be generated using its QFT, as shown below.
Definition 2
([,]). Let and . The inverse quaternion Fourier transform for g is described by
From relation (14), for every one gets
3. Quaternion Linear Canonical Transform (QLCT)
In this section, we recall the definition of the two-sided quaternion linear canonical transform (shortly QLCT) and then present its relation to the quaternion Fourier transform (QFT). We develop this relation in order to obtain the main result in the next section. For a detailed discussion of this transform, we refer the readers to [,,,].
Definition 3
([,]). Given and in . The QLCT of is defined through
where the kernel functions of the QLCT above are described by
and
In this work, we consider the QLCT in the case of . For specific parameter matrices with , the two-sided QLCT Definition (16) boils down to the two-sided QFT definition:
where is defined by (13).
Definition 4
([,]). For any with , the inversion theorem of the QLCT is described by
For every , there is
which is known as Parseval’s theorem for the two-sided QLCT.
4. Quaternion Linear Canonical S-Transform and Uncertainty Principles
In this section, we introduce the quaternion linear canonical S-transform (QLCST). We are going to investigate its main properties, which will be useful to derive the main result in this work.
Definition 5
(QLCST definition). Let be a non-zero quaternion window function. The quaternion linear canonical S-transform , is defined for every function with respect to ϕ, by
We collect the following facts related to the above definition.
Corollary 1.
Let satisfying
then for any
If , then
If we assume that , then
where is the quaternion windowed linear canonical transform (QWLCT) defined by
Proof.
We just derive Equation (29), and the others are similar. In fact, we have
and the proof is complete. □
Theorem 1.
Let ϕ be a quaternion window function. If are two quaternion functions, then the following orthogonality relation holds:
where
In particular, for , we obtain:
Proof.
Remark 1.
In the next theorem, we will derive a reconstruction formula associated with the linear canonical S-transform.
Theorem 2.
Let be a quaternion window functions that ϕ satisfies the condition:
Then, every quaternion signal can be generated using inversion formula for the QLCST:
Proof.
4.1. Heisenberg-Type Uncertainty Principle for QLCST
The following result presents the Heisenberg-type uncertainty principle for the QLCT, which is a non-trivial generalization of the QFT inequality studied by the authors in [].
Theorem 3.
For any and , we have
Its generalization in framework of the QLCT will lead to the following important result.
Theorem 4.
Under the same assumption as in Theorem 3, we have, for all ,
Proof.
Remark 2.
For , one gets
The generalization of Theorem 3 in the framework of the QLCST is given by the following result.
Theorem 5.
For any and , we have
Proof.
From Equation (47), it follows that
Including (20) into the first term of the above identity results in
Integrating the above relation with respect to will lead to
Therefore,
We replace by and get
Applying relations (27) and (35), we further obtain
This is equivalent to
Simplifying the above relation yields
The proof is complete. □
4.2. Pitt’S Inequality for QLCST
In this subsection, we establish Pitt’s inequality from the QLCT domains to the QLCST domains. For this purpose, we first introduce Pitt’s inequality related to the QLCT.
Theorem 6
(QLCT Pitt’s inequality []). Let and . Then, we have
where
Here is quaternion Schwartz space, and is the gamma function.
The following theorem explores an extension of Pitt’s inequality within the context of the QLCST.
Theorem 7
(QLCST Pitt’s Inequality). Let be a non-zero quaternion window function. Then, for any such that , one gets
Proof.
As an easy consequence of Pitt’s inequality related to the QLCST above, we deduce the following remarks:
Remark 4.
It should be noticed that by setting in Theorem 7, we obtain the following inequality
Remark 5.
Theorem 8
(Hausdorff–Young inequality for QLCST). Let and s such that . Then, for all , we have
where
5. Conclusions
This study introduced the quaternion linear canonical S-transform as a natural extension of the linear canonical S-transform within the framework of quaternion algebra. Detailed exploration of its key properties was conducted alongside an investigation into various uncertainty principles associated with this generalized transformation.
Future work would be related to further investigations of several uncertainty principles associated with the quaternion linear canonical S-transform, such as Nazarov’s uncertainty principle, Hardy’s-type uncertainty principle, Beurling’s uncertainty principle, Lieb’s inequality and Matolcsi-Szücs uncertainty principles.
Author Contributions
Conceptualization, D.D.; formal analysis, M.B.; funding acquisition, S.T. and M.B.; investigation, D.D. and M.B.; methodology, D.D. and M.B.; resources, S.T.; validation, M.B. and S.T.; writing—original draft, D.D. and M.B.; writing—review and editing, M.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data are contained within the article.
Acknowledgments
The authors sincerely thank the referees for the valuable comments which has significantly enhanced the work.
Conflicts of Interest
The authors declare no conflicts of interest.
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