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Time of Arrival Disambiguation Using the Linear Radon Transform

Abstract: 

Echo labeling, the challenging task of assigning acoustic reflections to image sources, is equivalent to the highly-important disambiguation task in room geometry inference. A method using the Radon transform, an image processing tool, is proposed to address this challenge. The method relies on acoustic wavefront detection in room impulse response stacks, obtained with a uniform linear array of loudspeakers and one microphone. We show in our experiments that the proposed method can both label and detect echoes.

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Paper Details

Authors:
Youssef El Baba, Andreas Walther, Emanuël Habets
Submitted On:
5 April 2017 - 11:44am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Youssef El Baba
Paper Code:
AASP-L4.4
Document Year:
2017
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Document Files

LRT-SL talk.pdf

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[1] Youssef El Baba, Andreas Walther, Emanuël Habets, "Time of Arrival Disambiguation Using the Linear Radon Transform", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1790. Accessed: Jun. 24, 2017.
@article{1790-17,
url = {http://sigport.org/1790},
author = {Youssef El Baba; Andreas Walther; Emanuël Habets },
publisher = {IEEE SigPort},
title = {Time of Arrival Disambiguation Using the Linear Radon Transform},
year = {2017} }
TY - EJOUR
T1 - Time of Arrival Disambiguation Using the Linear Radon Transform
AU - Youssef El Baba; Andreas Walther; Emanuël Habets
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1790
ER -
Youssef El Baba, Andreas Walther, Emanuël Habets. (2017). Time of Arrival Disambiguation Using the Linear Radon Transform. IEEE SigPort. http://sigport.org/1790
Youssef El Baba, Andreas Walther, Emanuël Habets, 2017. Time of Arrival Disambiguation Using the Linear Radon Transform. Available at: http://sigport.org/1790.
Youssef El Baba, Andreas Walther, Emanuël Habets. (2017). "Time of Arrival Disambiguation Using the Linear Radon Transform." Web.
1. Youssef El Baba, Andreas Walther, Emanuël Habets. Time of Arrival Disambiguation Using the Linear Radon Transform [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1790