16 citations · 24 across the 28 of their papers we have counts for
5 papers · 1 filter
Graph-Based Signal Sampling with Adaptive Subspace Reconstruction for Spatially-Irregular Sensor Data
Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega
Choosing an appropriate frequency definition and norm is critical in graph signal sampling and reconstruction. Most previous works define frequencies based on the spectral properti…
Fast DCT+: A Family of Fast Transforms Based on Rank-One Updates of the Path Graph
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
This paper develops fast graph Fourier transform (GFT) algorithms with O(n log n) runtime complexity for rank-one updates of the path graph. We first show that several commonly-use…
Irregularity-Aware Bandlimited Approximation for Graph Signal Interpolation
Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega
In most work to date, graph signal sampling and reconstruction algorithms are intrinsically tied to graph properties, assuming bandlimitedness and optimal sampling set choices. How…
Joint Graph and Vertex Importance Learning
Benjamin Girault, Eduardo Pavez, Antonio Ortega
In this paper, we explore the topic of graph learning from the perspective of the Irregularity-Aware Graph Fourier Transform, with the goal of learning the graph signal space inner…
Two Channel Filter Banks on Arbitrary Graphs with Positive Semi Definite Variation Operators
Eduardo Pavez, Benjamin Girault, Antonio Ortega +1
We propose novel two-channel filter banks for signals on graphs. Our designs can be applied to arbitrary graphs, given a positive semi definite variation operator, while using arbi…