Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Acoustic DoA Estimation by One Unsophisticated Sensor
 
conference paper

Acoustic DoA Estimation by One Unsophisticated Sensor

El Badawy, Dalia  
•
Dokmanic, Ivan  
•
Vetterli, Martin  
2017
Latent Variable Analysis and Signal Separation
13th International Conference on Latent Variable Analysis and Signal Separation

We show how introducing known scattering can be used in direction of arrival estimation by a single sensor. We first present an analysis of the geometry of the underlying measurement space and show how it enables localizing white sources. Then, we extend the solution to more challenging non-white sources like speech by including a source model and considering convex relaxations with group sparsity penalties. We conclude with numerical simulations using an unsophisticated sensing device to validate the theory.

  • Files
  • Details
  • Metrics
Type
conference paper
DOI
10.1007/978-3-319-53547-0_9
Web of Science ID

WOS:000418581400009

Author(s)
El Badawy, Dalia  
Dokmanic, Ivan  
Vetterli, Martin  
Date Issued

2017

Publisher

Springer Verlag

Publisher place

Cham

Published in
Latent Variable Analysis and Signal Separation
ISBN of the book

978-3-319-53546-3

978-3-319-53547-0

Total of pages

10

Series title/Series vol.

Lecture Notes in Computer Science; 10169

Start page

89

End page

98

Subjects

LCAV-SSP

•

LCAV-APDA

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LCAV  
Event nameEvent placeEvent date
13th International Conference on Latent Variable Analysis and Signal Separation

Grenoble, France

February 21-23, 2017

Available on Infoscience
December 13, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/131943
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés