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eess.SP2024
Efficient Recovery of Sparse Graph Signals from Graph Filter Outputs
Gal Morgenstern, Tirza Routtenberg
This paper investigates the recovery of a node-domain sparse graph signal from the output of a graph filter. This problem, which is often referred to as the identification of the s…
eess.SP2023
Protection Against Graph-Based False Data Injection Attacks on Power Systems
Gal Morgenstern, Jip Kim, James Anderson +2
Graph signal processing (GSP) has emerged as a powerful tool for practical network applications, including power system monitoring. Recent research has focused on developing GSP-ba…