693 citations · 892 across the 7 of their papers we have counts for
5 papers · 1 filter
Signal Representations on Graphs: Tools and Applications
Siheng Chen, Rohan Varma, Aarti Singh +1
We present a framework for representing and modeling data on graphs. Based on this framework, we study three typical classes of graph signals: smooth graph signals, piecewise-const…
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies
Siheng Chen, Rohan Varma, Aarti Singh +1
This paper builds theoretical foundations for the recovery of a newly proposed class of smooth graph signals, approximately bandlimited graph signals, under three sampling strategi…
A statistical perspective of sampling scores for linear regression
Siheng Chen, Rohan Varma, Aarti Singh +1
In this paper, we consider a statistical problem of learning a linear model from noisy samples. Existing work has focused on approximating the least squares solution by using lever…
Signal Recovery on Graphs: Random versus Experimentally Designed Sampling
Siheng Chen, Rohan Varma, Aarti Singh +1
We study signal recovery on graphs based on two sampling strategies: random sampling and experimentally designed sampling. We propose a new class of smooth graph signals, called ap…
Discrete Signal Processing on Graphs: Sampling Theory
Siheng Chen, Rohan Varma, Aliaksei Sandryhaila +1
We propose a sampling theory for signals that are supported on either directed or undirected graphs. The theory follows the same paradigm as classical sampling theory. We show that…