1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
10 years of news and resources for members of the IEEE Signal Processing Society
Alexander Bertrand (University of Leuven) ``Signal processing algorithms for wireless acoustic sensor networks``, Advisor: Prof. Marc Moonen (2011).
This thesis contains several distributed adaptive signal or parameter estimation algorithms for wireless sensor networks (WSN). Several chapters in the thesis focus on (but are not limited to) the specific application of WSNs for audio acquisition, often referred to as wireless acoustic sensor networks (WASNs). We propose distributed techniques for signal enhancement, based on beamforming or other noise reduction techniques, with a minor focus on speech enhancement. The proposed algorithms are referred to as distributed adaptive node-specific signal estimation (DANSE) algorithms. The ‘node-specific’ aspect refers to the fact that the algorithms estimate different node-specific versions of a source signal, e.g., as it is locally observed by each sensor node. Although the main focus is on distributed adaptive signal estimation, the thesis also covers distributed parameter estimation techniques (such as distributed total least squares and bias-compensated RLS), sensor subset selection and voice activity detection in WASNs.
|Call for Nominations: IEEE Technical Field Awards||15 January 2021|
|Call for Officer Nominations: President-Elect and Vice President-Technical Directions||19 February 2021|
|Nominate an IEEE Fellow today!||1 March 2021|
|Call for Nominations for Editor-in-Chief||5 April 2021|
|Call for Nominations: Chief Editor, SigPort and Chief Editor, Resource Center||5 April 2021|
© Copyright 2021 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.