Distributed Analytical Graph Identification

Distributed Analytical Graph Identification

Chepuri, S.P. (TU Delft Signal Processing Systems)
Coutino, Mario (TU Delft Signal Processing Systems)
Marques, Antonio G. (King Juan Carlos University)
Leus, G.J.T. (TU Delft Signal Processing Systems)

2018

An analytical algebraic approach for distributed network identification is presented in this paper. The information propagation in the network is modeled using a state-space representation. Using the observations recorded at a single node and a known excitation signal, we present algorithms to compute the eigenfrequencies and eigenmodes of the graph in a distributed manner. The eigenfrequencies of the graph may be computed using a generalized eigenvalue algorithm, while the eigenmodes can be computed using an eigenvalue decomposition. The developed theory is demonstrated using numerical experiments.

Distributed graph-spectral decomposition
Graph signal processing
Spectrum analysis
System identification
Topology identification

http://resolver.tudelft.nl/uuid:ccb53832-4f09-4e4b-a5cc-0fd7c7c3b62b

https://doi.org/10.1109/ICASSP.2018.8461484

IEEE, Piscataway, NJ

2019-03-13

978-1-5386-4659-5

2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings

2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018, 2018-04-15 → 2018-04-20, Calgary Telus Convention Center (CTCC), Calgary, Canada

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2018 S.P. Chepuri, Mario Coutino, Antonio G. Marques, G.J.T. Leus