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),
- 03-30-2012; in: "Proc. IEEE ICASSP-2012",
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.
average consensus , distributed inference , wireless sensor networks
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.