Signal processing with a distribution of graph operators
Signal Processing
2020-12-14 v1
Abstract
In this paper, we develop a signal processing framework of a network without explicit knowledge of the network topology. Instead, we make use of knowledge on the distribution of operators on the network. This makes the framework flexible and useful when accurate knowledge of graph topology is unavailable. Moreover, the usual graph signal processing is a special case of our framework by using the delta distribution. The main elements of the theory include Fourier transform, theory of filtering and sampling.
Keywords
Cite
@article{arxiv.2012.06296,
title = {Signal processing with a distribution of graph operators},
author = {Feng Ji and Wee Peng Tay},
journal= {arXiv preprint arXiv:2012.06296},
year = {2020}
}