168 citations · 289 across the 6 of their papers we have counts for
6 papers
Local Measurement and Reconstruction for Noisy Graph Signals
Xiaohan Wang, Jiaxuan Chen, Yuantao Gu
The emerging field of signal processing on graph plays a more and more important role in processing signals and information related to networks. Existing works have shown that unde…
A Distributed Tracking Algorithm for Reconstruction of Graph Signals
Xiaohan Wang, Mengdi Wang, Yuantao Gu
The rapid development of signal processing on graphs provides a new perspective for processing large-scale data associated with irregular domains. In many practical applications, i…
Local-set-based Graph Signal Reconstruction
Xiaohan Wang, Pengfei Liu, Yuantao Gu
Signal processing on graph is attracting more and more attentions. For a graph signal in the low-frequency subspace, the missing data associated with unsampled vertices can be reco…
Maximum Likelihood Estimation from Sign Measurements with Sensing Matrix Perturbation
Jiang Zhu, Xiaohan Wang, Yuantao Gu
The problem of estimating an unknown deterministic parameter vector from sign measurements with a perturbed sensing matrix is studied in this paper. We analyze the best achievable…
Edge Balance Ratio: Power Law from Vertices to Edges in Directed Complex Network
Xiaohan Wang, Zhaoqun Chen, Pengfei Liu +1
Power law distribution is common in real-world networks including online social networks. Many studies on complex networks focus on the characteristics of vertices, which are alway…
Proof of Convergence and Performance Analysis for Sparse Recovery via Zero-point Attracting Projection
Xiaohan Wang, Yuantao Gu, Laming Chen
A recursive algorithm named Zero-point Attracting Projection (ZAP) is proposed recently for sparse signal reconstruction. Compared with the reference algorithms, ZAP demonstrates r…