5 citations · 15 across the 12 of their papers we have counts for
5 papers · 1 filter
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 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…
Dictionary Learning Using Rank-One Projection (ROP)
Cheng Cheng, Wei Dai
Dictionary learning aims to find a dictionary that can sparsely represent the training data. Methods in the literature typically formulate the dictionary learning problem as an opt…