Nonuniform Multiresolution Analysis Associated with Linear Canonical Transform

TL;DR

This paper introduces a novel nonuniform multiresolution analysis framework based on the linear canonical transform, enabling advanced signal processing techniques with applications across various scientific and engineering disciplines.

Contribution

It develops a new LCT-based nonuniform multiresolution analysis and constructs associated wavelet packets, expanding the theoretical tools available for LCT applications.

Findings

Developed an LCT-based nonuniform MRA framework.

Constructed wavelet packets associated with the LCT-NUMRA.

Provided algorithms for multiresolution analysis construction.

Abstract

The linear canonical transform (LCT) has attained respectable status within a short span and is being broadly employed across several disciplines of science and engineering including signal processing, optical and radar systems, electrical and communication systems, quantum physics etc, mainly due to the extra degrees of freedom and simple geometrical manifestation. In this article, we introduce a novel multiresolution analysis (LCT-NUMRA) on the spectrum $\Omega = \big\{0,{r}/{N}\big\}+2\mathbb{Z},$ where $N \geqq 1$ is an integer and $r$ is an odd integer with $ 1 \leqq r \leqq 2N-1,$ such that $r$ and $N$ are relatively prime, by intertwining the ideas of nonuniform MRA and linear canonical transforms. We first develop nonuniform multiresolution analysis associated with the LCT and then drive an algorithm to construct an LCT-NUMRA starting from a linear canonical low-pass filter $\Lambda_{0}^{M}(\omega)$ with suitable conditions. Nevertheless, to extend the scope of the present study, we construct the associated wavelet packets for such an MRA and investigate their properties by means of the linear canonical transforms.