English

Special-Affine Wavelets: Multi-Resolution Analysis and Function Approximation in L^2(R)

Functional Analysis 2026-01-12 v1

Abstract

The multiresolution analysis (MRA) associated with the Special affine Fourier transform (SAFT) provides a structured approach for generating orthonormal bases in L2(R) L^2(\mathbb R) , making it a powerful tool for advanced signal analysis. This work introduces a robust sampling theory and constructs multiresolution structures within the SAFT domain to support the formation of orthonormal bases. Motivated by the need for a sampling theorem applicable to band-limited signals in the SAFT framework, we establish a corresponding theoretical foundation. Furthermore, a method for constructing orthogonal bases in L2(R)L^2(\mathbb R) is proposed, and the theoretical results are demonstrated through illustrative examples.

Keywords

Cite

@article{arxiv.2510.09612,
  title  = {Special-Affine Wavelets: Multi-Resolution Analysis and Function Approximation in L^2(R)},
  author = {Vikash K. Sahu and Waseem Z. Lone and Amit K. Verma},
  journal= {arXiv preprint arXiv:2510.09612},
  year   = {2026}
}
R2 v1 2026-07-01T06:29:54.627Z