Fourier transform methods are used to analyze functions and data sets to provide frequencies, amplitudes, and phases of underlying oscillatory components. Fast Fourier transform (FFT) methods offer speed advantages over evaluation of explicit integrals (EI) that define Fourier transforms. It has been shown recently that EI methods can be more accurate than FFT methods (Courtney and Courtney, A More Accurate Fourier Transform) for scientific data analysis and that EI methods can be implemented in reasonable times with modern computing power. This project makes the source code (and command line Windows executable) developed in that study openly available for scientific and engineering uses.

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow A More Accurate Fourier Transform

A More Accurate Fourier Transform Web Site

Other Useful Business Software
Forever Free Full-Stack Observability | Grafana Cloud Icon
Forever Free Full-Stack Observability | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Create free account
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of A More Accurate Fourier Transform!

Additional Project Details

Intended Audience

Education, Engineering, Science/Research

User Interface

Command-line

Programming Language

C

Related Categories

C Chemistry Software, C Mathematics Software, C Mechanical and Civil Engineering Software, C Data Analytics Tool

Registered

2015-06-30