2 citations · 3 across the 5 of their papers we have counts for
7 papers
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…
Structurally Observable Distributed Networks of Agents under Cost and Robustness Constraints
Stephen Kruzick, Sérgio Pequito, Soummya Kar +2
In many problems, agents cooperate locally so that a leader or fusion center can infer the state of every agent from probing the state of only a small number of agents. Versions of…
Spectral Statistics of Lattice Graph Structured, Non-uniform Percolations
Stephen Kruzick, José M. F. Moura
Design of filters for graph signal processing benefits from knowledge of the spectral decomposition of matrices that encode graphs, such as the adjacency matrix and the Laplacian m…
Spectral Statistics of Lattice Graph Percolation Models
Stephen Kruzick, Jose M. F. Moura
In graph signal processing, the graph adjacency matrix or the graph Laplacian commonly define the shift operator. The spectral decomposition of the shift operator plays an importan…