Difference between revisions of "Fast Fourier Transform Library & Arduino"

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(Overview)
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As the name suggests the Fast Fourier Transform Library enables for the timely computation of a signal's discrete Fourier transform.  Instructions on how to download the latest release can be found [https://github.com/kosme/arduinoFFT here].  A fast Fourier transform (fFt) would be of interest to any wishing to take a signal or data set from the time domain to the frequency domain.  
 
As the name suggests the Fast Fourier Transform Library enables for the timely computation of a signal's discrete Fourier transform.  Instructions on how to download the latest release can be found [https://github.com/kosme/arduinoFFT here].  A fast Fourier transform (fFt) would be of interest to any wishing to take a signal or data set from the time domain to the frequency domain.  
 
[[Category:HowTos]]
 
[[Category:HowTos]]
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[[Category:Programming]]
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[[Category:Arduino]]
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==Materials & Prerequisites==
 
==Materials & Prerequisites==
 
All items one needs to utilize an fFt with an Arduino is:
 
All items one needs to utilize an fFt with an Arduino is:

Revision as of 23:21, 3 December 2018

Overview

Introduction

As the name suggests the Fast Fourier Transform Library enables for the timely computation of a signal's discrete Fourier transform. Instructions on how to download the latest release can be found here. A fast Fourier transform (fFt) would be of interest to any wishing to take a signal or data set from the time domain to the frequency domain.

Materials & Prerequisites

All items one needs to utilize an fFt with an Arduino is:

    *Computer
    *Arduino
    *USB connector

Next download latest open-source Arduino Software here.

Process

Authors

  • Jordan Gewirtz
  • Nish Chakraburtty
  • Chanel Lynn

Group Link

eBox project page here

eBox log page here

External References