Stationary Graph Processes and Spectral Estimation

Understand

Stationarity is a cornerstone property that facilitates the analysis and processing of random signals in the time domain.

• Although time-varying signals are abundant in nature, in many practical scenarios the information of interest resides in more irregular graph domains.
• This lack of regularity hampers the generalization of the classical notion of stationarity to graph signals.
• The contribution in this paper is twofold.