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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size acoular-21.5.tar.gz (125.0 kB) | File type Source | Python version None | Upload date | Hashes View |
| Filename, size acoular-21.5-py3-none-any.whl (151.0 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |