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eess.SP2024
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…
eess.SP2024
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…
eess.SP2021
WLS Design of ARMA Graph Filters using Iterative Second-Order Cone Programming
Darukeesan Pakiyarajah, Chamira U. S. Edussooriya
We propose a weighted least-square (WLS) method to design autoregressive moving average (ARMA) graph filters. We first express the WLS design problem as a numerically-stable optimi…