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F. Hoffmann, FI. MA. Fazi, and P. Nelson, "Plane Wave Identification with Circular Arrays by Means of a Finite Rate of Innovation Approach," Paper 9521, (2016 May.). doi: F. Hoffmann, FI. MA. Fazi, and P. Nelson, "Plane Wave Identification with Circular Arrays by Means of a Finite Rate of Innovation Approach," Paper 9521, (2016 May.). doi:
Abstract: 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.

@article{hoffmann2016plane,
author={hoffmann, falk-martin and fazi, filippo maria and nelson, philip},
journal={journal of the audio engineering society},
title={plane wave identification with circular arrays by means of a finite rate of innovation approach},
year={2016},
volume={},
number={},
pages={},
doi={},
month={may},} @article{hoffmann2016plane,
author={hoffmann, falk-martin and fazi, filippo maria and nelson, philip},
journal={journal of the audio engineering society},
title={plane wave identification with circular arrays by means of a finite rate of innovation approach},
year={2016},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={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.},}

TY - paper
TI - Plane Wave Identification with Circular Arrays by Means of a Finite Rate of Innovation Approach
SP - EP -
AU - Hoffmann, Falk-Martin
AU - Fazi, Filippo Maria
AU - Nelson, Philip
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2016 TY - paper
TI - Plane Wave Identification with Circular Arrays by Means of a Finite Rate of Innovation Approach
SP - EP -
AU - Hoffmann, Falk-Martin
AU - Fazi, Filippo Maria
AU - Nelson, Philip
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2016
AB - 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.