Python Fourier Transform Helper Library

Steve Hageman

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13 Apr 2022Public Domain19 min read

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A Python Library to help make properly scaled Fourier Transforms including utility functions

The vast majority of code that you will find in Commercial packages, Open Source libraries, Textbooks, and on the Web is simply unsuited for the task of making a "Properly Scaled" Fourier Transform, and takes hours of further tweaking to get a classic and properly scaled spectrum plot. You know: Proper “Amplitude” and no more “Negative frequencies”, etc. This library is a solution that works "Out of the Box" and also includes example code to get you easily started.

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This article, along with any associated source code and files, is licensed under A Public Domain dedication

Written By

Steve Hageman

Engineer AnalogHome.com

United States

Steve Hageman has been a confirmed “Analog-Crazy” since about the fifth grade. He has had the pleasure of designing op-amps, switched-mode power supplies, gigahertz-sampling oscilloscopes, Lock In Amplifiers, Radio Receivers, RF Circuits to 50 GHz and test equipment for digital wireless products. Steve knows that all designs can’t be done with Rs, Ls, and Cs, so he dabbles with programming PC's and embedded systems just enough to get the job done (like for this project).

Python Fourier Transform Helper Library

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