The sound_field_analysis toolbox (short: sfa) is a Python port of the Sound Field Analysis Toolbox (SOFiA) toolbox, originally by Benjamin Bernschütz. The main goal of the sfa toolbox is to analyze, visualize and process sound field data recorded by spherical microphone arrays. Furthermore, various types of testdata may be generated to evaluate the implemented functions.
The package is pure python and PEP8 compliant (except line-length). Please expect things to be slow for now and for the API to break, as the development is still very much ongoing.
We use Python 3.5 for development. Chances are that earlier version will work too but this is untested.
The following external libraries are required:
We highly recommend the Anaconda python environment. Once installed, you can use the following steps to create a new environment with the sfa toolbox.
Alternatively, you can simply install through pip (pip install sound_field_analysis).
Please find the full documentation over at https://qulab.github.io/sound_field_analysis-py/!
Ideal unity plane wave simulation and 3D plot.
A measured plane wave from AZ=180°, EL=90° in the anechoic chamber using a cardioid mic.
Impulse Response reconstruction on a simulated ideal unity plane wave
Impulse response reconstruction on a simulated sampled unity plane wave
The sound_field_analysis toolbox is based on the Matlab/C++ Sound Field Analysis Toolbox (SOFiA) toolbox by Benjamin Bernschütz. For more information you may refer to the original publication:
The Lebedev grid generation was adapted from an implementaion by Richard P. Muller.
TODO: Figure out how to actually get changelog content.
Changelog content for this version goes here.
TODO: Brief introduction on what you do with files - including link to relevant help section.
|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|sound_field_analysis-0.1.dev0-py3-none-any.whl (24.6 kB) Copy SHA256 Checksum SHA256||py3||Wheel||Aug 9, 2016|
|sound_field_analysis-0.1.dev0.tar.gz (22.0 kB) Copy SHA256 Checksum SHA256||–||Source||Aug 9, 2016|