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Many problems in the field of acoustic measurements depend on the direction of incoming wave fronts w.r.t. a measurement device or aperture. This knowledge can be useful for signal processing purposes such as noise reduction, source separation, de-aliasing, and super-resolution strategies among others. This paper presents a signal processing technique for the identification of the directions of travel for the principal plane wave components in a sound field measured with a circular microphone array. The technique is derived from a finite rate of innovation data model and the performance is evaluated by means of a simulation study for different numbers of plane waves in the sound field.
Author (s): Hoffmann, Falk-Martin;
Fazi, Filippo Maria;
Nelson, Philip;
Affiliation:
University of Southampton, Southampton, UK
(See document for exact affiliation information.)
AES Convention: 140
Paper Number:9521
Publication Date:
2016-05-06
Session subject:
Audio Signal Processing: Beamforming, Upmixing, HRTF
DOI:
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Hoffmann, Falk-Martin; Fazi, Filippo Maria; Nelson, Philip; 2016; Plane Wave Identification with Circular Arrays by Means of a Finite Rate of Innovation Approach [PDF]; University of Southampton, Southampton, UK; Paper 9521; Available from: https://aes.org/publications/elibrary-page/?id=18220
Hoffmann, Falk-Martin; Fazi, Filippo Maria; Nelson, Philip; Plane Wave Identification with Circular Arrays by Means of a Finite Rate of Innovation Approach [PDF]; University of Southampton, Southampton, UK; Paper 9521; 2016 Available: https://aes.org/publications/elibrary-page/?id=18220
@inproceedings{Hoffmann2016plane,
title={{Plane Wave Identification with Circular Arrays by Means of a Finite Rate of Innovation Approach}},
author={Hoffmann, Falk-Martin and Fazi, Filippo Maria and Nelson, Philip},
year={2016},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 9521; AES Convention 140; May 2016},
number={9521},
organization={AES},
}
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