Cart (Loading....) | Create Account
Close category search window
 

Energy aware greedy subset selection for speech enhancement in wireless acoustic sensor networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Szurley, J. ; Dept. of Electr. Eng., KU Leuven, Leuven, Belgium ; Bertrand, A. ; Moonen, M. ; Ruckebusch, P.
more authors

A wireless acoustic sensor network is envisaged that relies on a collection of spatially distributed microphones, which observe a speech signal together with additive background noise. The microphone signals are sent to a fusion center where they are filtered and combined to produce an estimate of the speech signal. In order to save energy and extend network lifetime, it is desired to only have a subset of the microphones active at any one moment. This subset selection unfortunately comes with the adverse effect of decreasing the accuracy of the signal estimation. Since the network now has two competing objectives a trade-off develops that balances the energy consumption to estimation accuracy. We propose a network model that is cast similarly to a 0-1 knapsack problem that uses a greedy method to balance the output signal-to-noise ratio to total transmission energy expended by the wireless microphones. Simulations show that although a greedy approach is used, a relatively small decrease in output signal-to-noise ratio is achieved while there is a marked decrease in energy usage of the system.

Published in:

Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European

Date of Conference:

27-31 Aug. 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.