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On the Impact of Sample Size in Reconstructing Graph Signals

2023/07/01 by Sripathmanathan, Baskaran, Dong, Xiaowen, Bronstein, Michael · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Signal Processing (eess.SP) #Social and Information Networks (cs.SI) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2307.00336

Abstract

Reconstructing a signal on a graph from observations on a subset of the vertices is a fundamental problem in the field of graph signal processing. It is often assumed that adding additional observations to an observation set will reduce the expected reconstruction error. We show that under the setting of noisy observation and least-squares reconstruction this is not always the case, characterising the behaviour both theoretically and experimentally.

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