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eess.SY2016
2-Dimensional Finite Impulse Response Graph-Temporal Filters
Elvin Isufi, Geert Leus, Paolo Banelli
Finite impulse response (FIR) graph filters play a crucial role in the field of signal processing on graphs. However, when the graph signal is time-varying, the state of the art FI…
eess.SY2016★ 240 cited
Stationary Graph Processes and Spectral Estimation
Antonio G. Marques, Santiago Segarra, Geert Leus +1
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 m…