Library for acoustic beamforming
Project description
Acoular
Acoular is a Python module for acoustic beamforming that is distributed under the new BSD license.
It is aimed at applications in acoustic testing. Multichannel data recorded by a microphone array can be processed and analyzed in order to generate mappings of sound source distributions. The maps (acoustic photographs) can then be used to locate sources of interest and to characterize them using their spectra.
Features
covers several beamforming algorithms
different advanced deconvolution algorithms
both time-domain and frequency-domain operation included
3D mapping possible
application for stationary and for moving targets
supports both scripting and graphical user interface
efficient: intelligent caching, parallel computing with Numba
easily extendible and well documented
Dependencies
Acoular runs under Linux, Windows and MacOS, a Python 3.9, 3.8, 3.7 or 3.6 installation is needed with the Numpy, Scipy, Traits, scikit-learn, pytables, numba packages available. Matplotlib is recommended, but not necessary.
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