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Project Notes

Running a Kiss FFT Example

Test drive the Kiss FFT C library with an example.


Kiss FFT is an interesting FFT implementation in C. It promises ease-of-use over absolute performance.

To build a project with Kiss FFT, it just needs the core files compiled and linked.

I found a kissfft-example which I’m building here (under MacOS).

It has the core Kiss FFT files included in the repo, and links with the real-optimised version. The Kiss FFT files it uses are:


The kissfft-example comes with sample data and some python utilities for plotting the results. Data files:

File Description
01_Real_Part.txt labview-generated FFT (for comparison)
02_Imagin_Part.txt labview-generated FFT imaginary component (unused)
dump-raw-3.txt Raw data set
test-output.txt Output generated from the FFT

Setting up the Python Environment

I’m using virtualenv, and it needs some special considerations due to restrictions of the matplotlib library using in the python code - see Working with Matplotlib in Virtual environments.

I’m setting my virtual environment path to PYTHONHOME:

$ export PYTHONHOME=$(cd ../../venv; pwd)

Then activating the environment to install requirements:

$ source $PYTHONHOME/bin/activate
(venv)$ pip install -r requirements.txt
(venv)$ deactivate

The virtualenv is deactivated before running the examples … they’ll find the virtualenv from the PYTHONHOME environment variable

Running the kissfft-example

There are justa few commands to clone the kissfft-example repo, compile and run the FFT, then fire up the python script to visualise the results. I’ve put them in a shell script:

$ ./download_and_run

And here’s an example of the output:


Credits and References

About LCK#28 CFFT
Project Source on GitHub Return to the Project Catalog

This page is a web-friendly rendering of my project notes shared in the LittleCodingKata GitHub repository.

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