Stationary Graph Signals using an Isometric Graph Translation
Abstract
In this communication, we extend the concept of stationary temporal signals to stationary graph signals. We introduce the concept of strict sense stationary and wide sense stationary graph signals as a statistical invariance through an isometric graph translation. Using these definitions, we propose a spectral characterisation of WSS graph signals allowing to study stationarity using only the spectral components of a graph signal.
Finally, we apply this characterisation a synthetic graph in order to study a few important stochastic graph signals. Also, using geographic data, we study weather readings on the graph of weather stations and show evidence of stationarity in the temperature readings.
Domains
Signal and Image Processing
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Format : Other
Origin : Files produced by the author(s)
Comment : Weather report dataset used in Section 4.2
Origin : Files produced by the author(s)
Comment : Weather report dataset used in Section 4.2
Format : Presentation
Origin : Files produced by the author(s)
Origin : Files produced by the author(s)
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