activity
20202024
most citedAutomatic source localization and spectra generation from sparse beamforming maps

13 citations · 35 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2024

Enhancing Aeroacoustic Wind Tunnel Studies through Massive Channel Upscaling with MEMS Microphones

Daniel Ernst, Armin Goudarzi, Reinhard Geisler +3

This paper presents a large 6~m x 3~m aperture 7200 MEMS microphone array. The array is designed so that sub-arrays with optimized point spread functions can be used for beamformin…

cs.SD2023

B-CLEAN-SC: CLEAN-SC for broadband sources

Armin Goudarzi

This paper presents B-CLEAN-SC, a variation of CLEAN-SC for broadband sources. Opposed to CLEAN-SC, which ``deconvolves'' the beamforming map for each frequency individually, B-CLE…

physics.flu-dyn2023★ 12 cited

Aeroacoustic testing on a full aircraft model at high Reynolds numbers in the European Transonic Windtunnel

Thomas Ahlefeldt, Daniel Ernst, Armin Goudarzi +2

This paper presents an end-to-end approach for the assessment of pressurized and cryogenic wind tunnel measurements of an EMBRAER scaled full model close to real-world Reynolds num…

cs.SD2022★ 2 cited

Global, and Local Optimization Beamforming for Broadband Sources

Armin Goudarzi

This paper presents an alternative energy function for Global Optimization (GO) beamforming, tailored to acoustic broadband sources. Given, that properties such as the source locat…

cs.SD2021★ 8 cited

Expert Decision Support System for aeroacoustic source type identification using clustering

Armin Goudarzi, Carsten Spehr, Steffen Herbold

This paper presents an Expert Decision Support System for the identification of time-invariant, aeroacoustic source types. The system comprises two steps: first, acoustic propertie…

cs.SD2020★ 13 cited

Automatic source localization and spectra generation from sparse beamforming maps

Armin Goudarzi, Carsten Spehr, Steffen Herbold

Beamforming is an imaging tool for the investigation of aeroacoustic phenomena and results in high dimensional data that is broken down to spectra by integrating spatial Regions Of…