Talks and Poster Presentations (with Proceedings-Entry):
V. Schwarz, G. Matz:
"Nonlinear Average Consensus Based On Weight Morphing";
Poster: IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012),
Kyoto, Japan;
03-25-2012
- 03-30-2012; in: "Proc. IEEE ICASSP-2012",
IEEE,
(2012),
ISBN: 978-1-4673-0045-2;
3129
- 3132.
English abstract:
We present a novel weight design for average consensus that improves its transient and stead-state performance. The idea is to blend Metropolis-Hastings weights and convex-optimization weights via signal-adaptive morphing coefficients. The resulting scheme is shown to be particularly useful in dynamic scenarios where the measurements feature abrupt changes or unknown noise levels.
Keywords:
average consensus , distributed inference , wireless sensor networks
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ICASSP.2012.6288578
Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_212688.pdf
Created from the Publication Database of the Vienna University of Technology.