Distributed Analytical Graph Identification

Sundeep Prabhakar Chepuri; Mario Coutino; Antonio G. Marques; Geert Leus

ICASSP 2018accepted0 citations

Distributed Analytical Graph Identification

Sundeep Prabhakar Chepuri, Mario Coutino, Antonio G. Marques, Geert Leus

Abstract

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.

BibTeX

@inproceedings{icassp2018_distributedanaly,
  title = {Distributed Analytical Graph Identification},
  author = {Sundeep Prabhakar Chepuri and Mario Coutino and Antonio G. Marques and Geert Leus},
  booktitle = {ICASSP 2018},
  year = {2018}
}