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pro vyhledávání: '"Gert Herold"'
Autor:
Gert Herold
The sound emission characteristics of unmanned aerial systems are of interest in many contexts. For a realistic representation of the directional characteristics and the radiated sound energy, it is useful if the aircraft is operated under realistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a7b941185fee5d2e44444834abbec79
https://doi.org/10.36227/techrxiv.19469825
https://doi.org/10.36227/techrxiv.19469825
Autor:
Gert Herold, Ennes Sarradj
Publikováno v:
Journal of Sound and Vibration. 401:152-168
Microphone array methods aim at the characterization of multiple simultaneously operating sound sources. However, existing data processing algorithms have been shown to yield different results when applied to the same input data. The present paper in
Publikováno v:
International Journal of Aeroacoustics. 16:418-430
Microphone arrays can be used to detect sound sources on rotating machinery. For this study, experiments with three different axial fans, featuring backward-skewed, unskewed, and forward-skewed blades, were conducted in a standardized fan test chambe
Sparse $$\ell _{1}$$ ℓ 1 regularisation of matrix valued models for acoustic source characterisation
Publikováno v:
Optimization and Engineering. 19:39-70
We present a strategy for the recovery of a sparse solution of a common problem in acoustic engineering, which is the reconstruction of sound source levels and locations applying microphone array measurements. The considered task bears similarities t
Autor:
Gert Herold, Ennes Sarradj
Publikováno v:
Noise & Vibration Worldwide. 48:44-51
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
Autor:
Gert Herold, Ennes Sarradj
Publikováno v:
Applied Acoustics. 116:50-58
Acoular is an open source object-oriented Python package for microphone array data processing. It supports various methods for sound source characterization and mapping. The background of these methods, which rely on synchronously captured microphone
Publikováno v:
The Journal of the Acoustical Society of America. 146(3)
In this contribution it is examined whether the use of deep neural networks can lead to an accurate characterization of single point sources from microphone array data. Based on conventional beamforming maps, the proposed method aims at estimating th
Autor:
Ennes Sarradj, Gert Herold
Publikováno v:
25th AIAA/CEAS Aeroacoustics Conference.
Autor:
Daniel Ernst, A. Pereira, A.M.N. Malgoezar, D. Blacodon, Thomas Padois, A. Finez, Pieter Sijtsma, Gert Herold, Stefan Haxter, Dick G. Simons, Xun Huang, Carsten Spehr, Henri Siller, Thomas Ahlefeldt, Ulf Michel, Christophe Picard, Quentin Leclere, Christopher J. Bahr, Mirjam Snellen, Jérôme Antoni, Ennes Sarradj, Roberto Merino-Martínez, Thomas F. Geyer, William M. Humphreys, S. Funke
Publikováno v:
CEAS Aeronautical Journal, 10(1)
Phased microphone arrays have become a well-established tool for performing aeroacoustic measurements in wind tunnels (both open-jet and closed-section), flying aircraft, and engine test beds. This paper provides a review of the most well-known and s
Publikováno v:
Applied Acoustics. 172:107599
Planar microphone arrays are of common use in acoustic source identification methods, as well as the use of planar calculation grids. Indeed, the assumption is that the planar grid contains all sources of interest. However, this assumption may not be