33 citations · 93 across the 21 of their papers we have counts for
21 papers
Iterative Polynomial Approximation Algorithms for Inverse Graph Filters
Cheng Cheng, Qiyu Sun, Cong Zheng
Chebyshev interpolation polynomials exhibit the exponential approximation property to analytic functions on a cube. Based on the Chebyshev interpolation polynomial approximation, w…
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…
Dictionary Learning with Convex Update (ROMD)
Cheng Cheng, Wei Dai
Dictionary learning aims to find a dictionary under which the training data can be sparsely represented, and it is usually achieved by iteratively applying two stages: sparse codin…
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…