1 citations · 1 across the 2 of their papers we have counts for
4 papers · 1 filter
Spectral Statistics of Directed Networks with Random Link Model Transpose-Asymmetry
Stephen Kruzick, José M. F. Moura
Stochastic network influences complicate graph filter design by producing uncertainty in network iteration matrix eigenvalues, the points at which the graph filter response is defi…
Optimal Filter Design for Consensus on Random Directed Graphs
Stephen Kruzick, José M. F. Moura
Optimal design of consensus acceleration graph filters relates closely to the eigenvalues of the consensus iteration matrix. This task is complicated by random networks with uncert…
Graph Signal Processing: Filter Design and Spectral Statistics
Stephen Kruzick, José M. F. Moura
Graph signal processing analyzes signals supported on the nodes of a graph by defining the shift operator in terms of a matrix, such as the graph adjacency matrix or Laplacian matr…
Consensus State Gram Matrix Estimation for Stochastic Switching Networks from Spectral Distribution Moments
Stephen Kruzick, José M. F. Moura
Reaching distributed average consensus quickly and accurately over a network through iterative dynamics represents an important task in numerous distributed applications. Suitably…