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20182020
most citedWhat's in a frequency: new tools for graph Fourier Transform visualization

2 citations · 2 across the 2 of their papers we have counts for

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6 papers · 1 filter

eess.SP2020

Spectral folding and two-channel filter-banks on arbitrary graphs

Eduardo Pavez, Benjamin Girault, Antonio Ortega +1

In the past decade, several multi-resolution representation theories for graph signals have been proposed. Bipartite filter-banks stand out as the most natural extension of time do…

eess.SP2020

TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers

Karel Mundnich, Brandon M. Booth, Michelle L'Hommedieu +11

We present a novel longitudinal multimodal corpus of physiological and behavioral data collected from direct clinical providers in a hospital workplace. We designed the study to in…

eess.SP2020

Graph Vertex Sampling with Arbitrary Graph Signal Hilbert Spaces

Benjamin Girault, Antonio Ortega, Shrikanth S. Narayayan

Graph vertex sampling set selection aims at selecting a set of ver-tices of a graph such that the space of graph signals that can be reconstructed exactly from those samples alone…

eess.SP20192 cited

What's in a frequency: new tools for graph Fourier Transform visualization

Benjamin Girault, Antonio Ortega

Recent progress in graph signal processing (GSP) has addressed a number of problems, including sampling and filtering. Proposed methods have focused on generic graphs and defined s…

eess.SP2018

Graph Variogram: A novel tool to measure spatial stationarity

Alexander Serrano, Benjamin Girault, Antonio Ortega

Irregularly sampling a spatially stationary random field does not yield a graph stationary signal in general. Based on this observation, we build a definition of graph stationarity…

eess.SP2018

Irregularity-Aware Graph Fourier Transforms

Benjamin Girault, Antonio Ortega, Shrikanth Narayanan

In this paper, we present a novel generalization of the graph Fourier transform (GFT). Our approach is based on separately considering the definitions of signal energy and signal v…