Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
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;
25.03.2012
- 30.03.2012; in: "Proc. IEEE ICASSP-2012",
IEEE,
(2012),
ISBN: 978-1-4673-0045-2;
S. 3129
- 3132.
Kurzfassung englisch:
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.
Schlagworte:
average consensus , distributed inference , wireless sensor networks
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ICASSP.2012.6288578
Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/PubDat_212688.pdf