Welcome to GroupSound! This webpage is mainly a front for our GitHub repository, but it also provides some basic information about the GroupSound project.
original research into the acoustical properties of nonabelian group filters
Project maintained by SoundMath
Hosted on GitHub Pages — Theme by mattgraham
This news feed is not always up-to-date. Please visit the GroupSound GitHub repository for the latest news!
- February 25, 2014: Matt Corley will give a talk on our findings thus far at the Pi Mu Epsilon Mathematical Honor Society Induction Ceremony.
- February 14, 2014: Matt Corley adjusted map-reduce convolution to work for small audio samples. You can now listen to audio convolution by downloading the Sage worksheet here
- January 10, 2014: William DeMeo created a map-reduce procedure for convolution over finite groups.
Get the Sage worksheet here.
- January 8, 2014: Matt Corley developed Sage/Python routines for creating/playing sound signals and writing them to wav files.
Get the Sage worksheet here.
- December 9, 2013: Matt Corley is now a Magellan Scholar and a grant will fund his work on this project. Congratulations, Matt!
October 18, 2013: Our abstract was accepted; we will present preliminary results of this project at the
Joint Math Meetings in Baltimore, Maryland on January 16, 2014 at 10:40am.
Event: At the Intersection of Mathematics and the Arts, III.
Underlying many digital signal processing (dsp) algorithms, in particular those used for digital audio filters, is the convolution operation, which is a weighted sum of translations f(x-y). Most classical results of dsp are easily and elegantly derived if we define our functions on Z/nZ, the abelian group of integers modulo n. If we replace this underlying "index set" with a nonabelian group, then translation may be written f(y-1x), and the resulting audio filters arising from convolution naturally produce different effects than those obtained with ordinary (abelian group) convolution.
The aim of this project is to explore the idea of using the underlying finite group (i.e., the index set) as an adjustable parameter of a digital audio filter. By listening to samples produced using various nonabelian groups, we try to get a sense of the "acoustical characters" of finite groups.
Matthew Corley -- University of South Carolina (CS major) @corleymj
William DeMeo -- University of South Carolina (Math faculty mentor) @williamdemeo
Reginald Bain -- University of South Carolina (Music faculty mentor) @regbain
You can download all the materials in our repository using the ZIP or TAR buttons above.
For Git users. If you want to suggest changes to this content, please use the "View on GitHub" button. Then fork the repository, make your changes, and submit a pull request. You can also clone the repository with the following command:
git clone email@example.com:SoundMath/GroupSound.git
- Books and Notes: