Open-source software for the application of microphone array methods

The open-source Python library Acoular is aimed at the processing of microphone array data. It features a number of algorithms for acoustic source characterization in time domain and frequency domain. The modular, object-oriented architecture allows for flexible programming and a multitude of applications. This includes the processing of measured array data, the mapping of sources, the filtering of subcomponent noise, and the generation of synthetic data for test purposes. Several examples illustrating its versatility are given, as well as one example for implementing a new algorithm into the package.

[1]  Ennes Sarradj,et al.  Silent Owl Flight: Bird Flyover Noise Measurements , 2011 .

[2]  Gert Herold,et al.  A Python framework for microphone array data processing , 2017 .

[3]  Ennes Sarradj,et al.  Three-Dimensional Acoustic Source Mapping with Different Beamforming Steering Vector Formulations , 2012 .

[4]  Ennes Sarradj,et al.  A fast signal subspace approach for the determination of absolute levels from phased microphone array measurements , 2010 .

[5]  P. Stoica,et al.  Sparsity constrained deconvolution approaches for acoustic source mapping. , 2008, The Journal of the Acoustical Society of America.

[6]  J. Capon.  High-resolution frequency-wavenumber spectrum analysis , 1969 .

[7]  Ennes Sarradj,et al.  Silent Owl Flight: Comparative Acoustic Wind Tunnel Measurements on Prepared Wings , 2013 .

[8]  P. Welch.  The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[9]  Mark M. Weislogel,et al.  More investigations in capillary fluidics using a drop tower , 2013 .

[10]  Gert Herold,et al.  An Approach to Estimate the Reliability of Microphone Array Methods , 2015 .

[11]  Ennes Sarradj,et al.  Application of a Beamforming Technique to the Measurement of Airfoil Leading Edge Noise , 2012 .

[12]  Thomas F. Brooks,et al.  A Deconvolution Approach for the Mapping of Acoustic Sources (DAMAS) Determined from Phased Microphone Arrays , 2004 .

[13]  E. Sarradj,et al.  Identification of Noise Source Mechanisms using Orthogonal Beamforming , 2005 .

[14]  Gert Herold,et al.  Sound source localization on an axial fan at different operating points , 2016 .

[15]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[16]  Gert Herold,et al.  Microphone array method for the characterization of rotating sound sources in axial fans , 2015 .

[17]  Aiaa Paper,et al.  CLEAN based on spatial source coherence , 2007 .

[18]  Gert Herold,et al.  Analyzing Noise Components on Skewed Fans with a Virtual Rotating Microphone Array , 2016 .

[19]  Ennes Sarradj,et al.  Measurement of the noise generation at the trailing edge of porous airfoils , 2010 .

[20]  Jose A. Ballesteros,et al.  Noise source identification with Beamforming in the pass-by of a car , 2015 .

[21]  Gert Herold,et al.  Simultaneous Sound Power Measurement of Engine Components , 2016 .

[22]  J. Högbom,et al.  APERTURE SYNTHESIS WITH A NON-REGULAR DISTRIBUTION OF INTERFEROMETER BASELINES. Commentary , 1974 .