Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 88 tok/s
Gemini 2.5 Pro 47 tok/s Pro
GPT-5 Medium 21 tok/s Pro
GPT-5 High 13 tok/s Pro
GPT-4o 81 tok/s Pro
Kimi K2 175 tok/s Pro
GPT OSS 120B 450 tok/s Pro
Claude Sonnet 4 39 tok/s Pro
2000 character limit reached

Efficient application of the Voigt functions in the Fourier transform (2504.21003v4)

Published 3 Apr 2025 in math.GM

Abstract: In this work, we develop a method for rational approximation of the Fourier transform (FT) based on the real and imaginary parts of the complex error function [ w(z) = e{-z2}(1 - {\rm{erf}}(-iz)) = K(x,y) + iL(x,y), \qquad z = x + iy, ] where $K(x,y)$ and $L(x,y)$ are known as the Voigt and imaginary Voigt functions, respectively. In contrast to our previous rational approximation of the FT, the expansion coefficients in this method are not dependent on the values of a sampled function. As the values of the Voigt functions remain the same, this approach can be used for rapid computation with help of look-up tables. Mathematica codes with some examples are presented.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube