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Gal Morgenstern

1 paper here

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  • first author1

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  • eess.SP1

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2 papers

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…

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