Abstract and Applied Analysis
Volume 2019 (2019), Article ID 3749387, 9 pages
https://doi.org/10.1155/2019/3749387

Research Article

A Convolution Theorem Related to Quaternion Linear Canonical Transform

Mawardi Bahri¹ and Ryuichi Ashino²

¹Department of Mathematics, Hasanuddin University, Makassar 90245, Indonesia
²Division of Mathematical Sciences, Osaka Kyoiku University, Osaka 582-8582, Japan

Correspondence should be addressed to Ryuichi Ashino; ashino@cc.osaka-kyoiku.ac.jp

Received 27 January 2019; Accepted 24 April 2019; Published 28 May 2019

Academic Editor: Jozef Banas

Copyright © 2019 Mawardi Bahri and Ryuichi Ashino. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

We introduce the two-dimensional quaternion linear canonical transform (QLCT), which is a generalization of the classical linear canonical transform (LCT) in quaternion algebra setting. Based on the definition of quaternion convolution in the QLCT domain we derive the convolution theorem associated with the QLCT and obtain a few consequences.

1. Introduction

The linear canonical transform (LCT) plays an important role in various fields of optics and signal processing. In some papers, the LCT is also known as the affine Fourier, the ABCD, and Moshinsky-queue transforms. The LCT can be considered as a generalization of many mathematical transforms, such as Fourier, Laplace, fractional Fourier, and Fresnel transforms. Many fundamental properties of the LCT have been investigated like translation, modulation, convolution, correlation, and uncertainty principles (see, e.g., [1–8]).

The quaternion linear canonical transform (QLCT) is a generalization of the linear canonical transform (LCT) using quaternion algebra. According to definitions of the quaternion Fourier transform (QFT), there are basically two ways of obtaining the QLCT: the (right-sided) quaternion linear canonical transform and the (two-sided) quaternion linear canonical transform. The (right-sided) quaternion linear canonical transform is obtained by substituting the Fourier kernel with the right-sided QFT kernel in the LCT definition. Some important properties of the quaternion linear canonical transform such as the Parseval’s theorem, reconstruction formula, and uncertainty principles are also discussed (see [9–14] and the references mentioned therein). However, there is no literature for establishing the convolution theorem associated with the QLCT as far as we know.

Therefore, it is worthwhile to study the convolution theorems associated with the QLCT, which can be useful in signal processing theory and application. Our main objective of the present paper is to establish convolution theorems for the QLCT which are generalizations of the related classical ones. We will accomplish this task by using the properties of quaternions and combining the LCT convolution and the QFT convolution definition [15]. In the beginning, we make a definition of the QLCT and obtain the relationship between the QLCT and QFT. Based on the convolution definitions of the LCT and QFT, we propose a new definition convolution for the QLCT and obtain its convolution theorem. We emphasize that the proposed convolution definition is different from the one studied in [16]. The definition uses the kernel of the classical fractional Fourier transform which is commutative with quaternion signals.

2. Basic Facts about Quaternion Algebra and Quaternion Fourier Transform

Quaternions are hypercomplex numbers, which can be written in the following form

where is a basis of and obeys the following multiplication rules:

For a quaternion , the conjugate of the quaternion is given by

and satisfies

From (3) we obtain the norm or modulus of defined as

It is not difficult to see that

Like in complex case, the inverse of is given by

Every quaternion-valued function can be written as

where , and are real-valued functions. A quaternion module is then defined as

Definition 1. The QFT of is the transform given by the integral

Here is called the quaternion Fourier transform operator or the quaternion Fourier transform.

Definition 2. The inverse QFT of is the transform given by the integral

where and . Here stands for the inverse QFT operator.

3. Quaternion Linear Canonical Transform and Its Convolution Theorem

In this section we first introduce the two-dimensional quaternion linear canonical transform (QLCT). We then make a convolution definition in the QLCT domain and derive a convolution theorem related to the QLCT.

3.1. Definition of QLCT

Based on the definition of the two-sided quaternion Fourier transform (QFT) and its properties [17–22], we obtain a definition of the QLCT. We also can derive useful properties of the QLCT using fundamental relationship between the QFT and QLCT. Denote by the special linear group of degree 2 over , that is, the group of all real matrices with determinant one. Let

When , we define the kernel of the QLCT by

Observe that we can write the imaginary units above of the form

These facts yield

Definition 3 (QLCT definition). The QLCT of a quaternion signal is defined by

Because and are chirp signals in signal processing, then we always work for the case . The inverse transform of the QLCT above is then described by

This form is equivalent to

where and .

It directly follows from (8) and (15) that

In the rest of the paper, we always assume that for are real-valued function or .

Theorem 4. If , then is continuous on .

Proof. See [9].

Similarly, one can obtain the following result.

Theorem 5. If , then is continuous on .

3.2. Convolution Theorem for QLCT

In the following we first define the convolution for the QLCT. It is an extension of the convolution definition from the LCT (see [5, 6]) to the QLCT domain. We then investigate how the QLCT behaves under convolutions.

Definition 6. For any two quaternion functions , we define the convolution operator of the QLCT as

As a direct consequence, we get the convolution theorem associated with the QLCT, which is expressed as

Theorem 7. Let be two quaternion-valued functions. Then we have the QLCT of the convolution of and in the form

where the matrix parameters

Proof. It directly follows from (16) and (20) that

Letting , (23) can be rewritten as

Simplifying this result we have

Applying properties of kernel function of the QLCT we obtain

Now multiplying both sides of the above equation by and gives

Based on Definition 3, the required result follows.

Remark 8. If we use the matrix parameters with . Then (21) will lead to

Observe that the above form is quite similar to the convolution theorem associated with the QFT [15]. Now we investigate some consequences of Theorem 7, which are given in the following results.

Lemma 9. Let be two quaternion-valued functions. If we assume that , then we have

Moreover, if , then we have

Proof. We only verify the identity (29) and the others are quite similar. Direct computations yield

By making the change of variable of the above, we get

Multiplying this result by and , we easily obtain

The definition of the QLCT (16) finally gives

This finishes the proof of the lemma.

Lemma 10. Suppose that has the form

If is satisfied, then we have

Remark 11. It should be noticed if takes the form

then it holds

where .

Data Availability

All data generated or analyzed during this study are included within the article.

Conflicts of Interest

The authors declare that there is no conflict of interest regarding the publication of this paper.

Acknowledgments

This work is partially supported by JSPS. KAKENHI (C)16K0521619 of Japan.

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