NANAAug 10, 2018

A numerical method of Fourier transform based on hyperfunction theory

arXiv:1808.034601 citationsh-index: 9
Originality Synthesis-oriented
AI Analysis

For researchers needing accurate numerical Fourier transforms, this method offers a new approach with demonstrated efficiency gains.

The paper introduces a numerical Fourier transform method using hyperfunction theory, computing defining functions and then obtaining the transform via analytic continuation. Numerical examples demonstrate improved efficiency over previous methods.

In this paper, we propose a numerical method of Fourier transform based on hyperfunction theory. In the proposed method, we compute analytic functions called the defining functions, which give the desired Fourier transform as a hyperfunction, and then obtain the Fourier transform by the analytic continuation of the defining functions onto the real axis. Numerical examples show the efficiency of the proposed method compared to the previous methods.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes