Research Topic · Peer-Reviewed

Fast Fourier Transforms

Fast Fourier Transforms (FFTs) are a vital tool for signal processing, which is used to analyze and interpret data such as audio, images, and video. FFTs are used to convert a signal from its time domain, to its frequency domain. This technique provides us with a better understanding of the signal by breaking it dow…

📚 0 peer-reviewed articles cited 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Fast Fourier Transforms (FFTs) are a vital tool for signal processing, which is used to analyze and interpret data such as audio, images, and video. FFTs are used to convert a signal from its time domain, to its frequency domain. This technique provides us with a better understanding of the signal by breaking it down into components. By doing so, FFTs help us to understand the underlying components of a signal, allowing us to make decisions on how to process them, or modify them. FFTs are used in a wide variety of applications, such as audio engineering, image processing, communications, and radar systems.

Research published in this journal

No peer-reviewed research on this exact topic has been published in Model Based Research yet. Browse the journal →

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.