arXiv subjects

Manab Kundu

Publications and source records attributed to Manab Kundu.

5 recordsLinked to original sources

arXiv2026

Theory and Applications of Convolution-Based short time offset linear canonical transform

In this paper, we introduce a convolution based short time offset linear canonical transform (STOLCT) and investigate its fundamental mathematical properties. Specifically, we establish its continuity, orthogonality relations, inversion formulas, range theorem, and convolution theorem. We further explore several important applications of STOLCT, including the Poisson summation formula, the Paley Wiener criterion, and a sampling theorem. In addition, numerical simulations and graphical analyses are presented to compare signal reconstruction performance under different scenarios. A comparative study between STOLCT and STLCT is conducted with respect to their reconstruction formulas, demonstrating the effectiveness and potential advantages of the proposed transform.

math.FA↗

arXiv2025

Inequality, uncertainty principles and their structural analysis for offset linear canonical transform and its quaternion extension

This work undertakes a twofold investigation. In the first part, we examine the inequalities and uncertainty principles in the framework of offset linear canonical transform (OLCT), with particular attention to its scaling and shifting effects. Theoretical developments are complemented by numerical simulations that substantiate and illustrate the analytical results. In the second part, we establish the connection of quaternion offset linear canonical transform (QOLCT) and the OLCT by employing the orthogonal plane split (OPS) approach. Through this approach, the inequalities and uncertainty principles derived for the OLCT are extended to the QOLCT. Moreover, the computational methods designed for the OLCT may be systematically adapted to facilitate the numerical implementation of the QOLCT using this connection between OLCT and QOLCT.

math.FA↗

arXiv2025

The windowed quadratic phase Fourier transform: structure, convolution theorem and application

The windowed quadratic phase Fourier transform (WQPFT) combines the localization capabilities of windowed transforms with the phase modulation structure of the quadratic phase Fourier transform (QPFT). This paper investigates fundamental properties of the WQPFT, including linearity, shifting, modulation, conjugation, and symmetry. In addition, we derive the reproducing kernel, establish a reconstruction formula, and characterize the range of the transform. Convolution theorems in both the spectral and spatial domains are developed, along with the existence results and norm estimates for the convolution operation associated with the WQPFT. Finally, as an application, the solution of a convolution equation is given using the convolution theorem of the WQPFT.

math.FA↗

arXiv2025

The Multidimensional Quadratic Phase Fourier Transform: Theoretical Analysis and Applications

The quadratic phase Fourier transform (QPFT) is a generalization of several well-known integral transforms, including the linear canonical transform (LCT), fractional Fourier transform (FrFT), and Fourier transform (FT). This paper introduces the multidimensional QPFT and investigates its theoretical properties, including Parseval's identity and inversion theorems. Generalized convolutions and correlation for multiple variables, extending the conventional convolution for single-variable functions, are proposed within the QPFT setting. Additionally, a Boas-type theorem for the multidimensional QPFT is established. As applications, multiplicative filter design and the solution of integral equations using the proposed convolution operation are explored.

math.FA↗

arXiv2025

New convolution related theorems and applications associated with offset linear canonical transform

In this paper, we define new type of convolution and correlation theorems associated with the offset linear canonical transform (OLCT). Additionally, we discuss their applications in multiplicative filter design, which may prove useful in optics and signal processing for signal recovery. Furthermore, we explore the real Paley-Wiener (PW) and Boas theorems for the OLCT, analyzing signal characteristics for OLCT within the L2 domain.

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