arrow
Return

A generating matrix method for constructing Hermite-Gaussian-like number-theoretic transform eigenvectors

delete2018-11-01
delete3
PRE
AI
J
José R. de Oliveira Neto
J
Juliano B. Lima *
D
Daniel Panario
DOI:10.1016/j.sigpro.2018.05.018delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
In this paper, we present a method based on generating matrices for constructing number-theoretic transform (NTT) eigenvectors. We provide a specific generating matrix and, using it, we demonstrate how to construct an orthogonal basis of Hermite-Gaussian-like NTT eigenvectors, which can be used to define a fractional number-theoretic transform (FrNTT). We discuss the main aspects of the referred eigenbasis, present an example and suggest a potential application for the corresponding FrNTT. (C) 2018 Elsevier B.V. All rights reserved.
Keywords:
Number-theoretic transforms
Generating matrices
Fractional transforms
Hermite-Gaussian-like eigenvectors
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Signal Processing cover
Signal Processing
IF:
3.6
Papers:
9.9K
Citations:
1.7W

Organization

U
Universidade Federal de Pernambuco
Scholars:
1.3W
Papers: 7.3K
Citations: 5.3K
C
carleton university
Scholars:
7.5K
Papers: 8.3K
Citations: 5