Prolate Spheroidal Wave Functions Associated with the Quaternionic Fourier Transform

TL;DR

This paper introduces quaternionic prolate spheroidal wave functions, extending classical functions to quaternionic space, to optimize energy concentration in signals under quaternionic Fourier transform, with applications in bandlimited signal extrapolation.

Contribution

It defines and analyzes quaternionic prolate spheroidal wave functions, a novel generalization of Slepian functions, for maximal energy concentration in quaternionic signal processing.

Findings

Quaternionic prolate spheroidal wave functions maximize energy concentration.

They effectively solve bandlimited signal extrapolation.

Theoretical and experimental validation confirms their optimality.

Abstract

One of the fundamental problems in communications is finding the energy distribution of signals in time and frequency domains. It should, therefore, be of great interest to find the most energy concentration hypercomplex signal. The present paper finds a new kind of hypercomplex signals whose energy concentration is maximal in both time and frequency under quaternionic Fourier transform. The new signals are a generalization of the prolate spheroidal wave functions (also known as Slepian functions) to quaternionic space, which are called quaternionic prolate spheroidal wave functions. The purpose of this paper is to present the definition and properties of the quaternionic prolate spheroidal wave functions and to show that they can reach the extreme case in energy concentration problem both from the theoretical and experimental description. In particular, these functions are shown as an effective method for bandlimited signals extrapolation problem.