3 citations · 6 across the 8 of their papers we have counts for
11 papers
Learning Nonlinear Couplings in Network of Agents from a Single Sample Trajectory
Arash Amini, Qiyu Sun, Nader Motee
We consider a class of stochastic dynamical networks whose governing dynamics can be modeled using a coupling function. It is shown that the dynamics of such networks can generate…
Graph Fourier transforms on directed product graphs
Cheng Cheng, Yang Chen, Jeon Yu Lee +1
Graph Fourier transform (GFT) is one of the fundamental tools in graph signal processing to decompose graph signals into different frequency components and to represent graph signa…
Graph Fourier transform based on singular value decomposition of directed Laplacian
Yang Chen, Cheng Cheng, Qiyu Sun
Graph Fourier transform (GFT) is a fundamental concept in graph signal processing. In this paper, based on singular value decomposition of Laplacian, we introduce a novel definitio…
Wiener filters on graphs and distributed polynomial approximation algorithms
Cong Zheng, Cheng Cheng, Qiyu Sun
In this paper, we consider Wiener filters to reconstruct deterministic and (wide-band) stationary graph signals from their observations corrupted by random noises, and we propose d…
Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
Nazar Emirov, Cheng Cheng, Qiyu Sun +1
Eigenvectors of matrices on a network have been used for understanding spectral clustering and influence of a vertex. For matrices with small geodesic-width, we propose a distribut…
Preconditioned Gradient Descent Algorithm for Inverse Filtering on Spatially Distributed Networks
Cheng Cheng, Nazar Emirov, Qiyu Sun
Graph filters and their inverses have been widely used in denoising, smoothing, sampling, interpolating and learning. Implementation of an inverse filtering procedure on spatially…