2 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.SP2025
Efficient Sampling Allocation Strategies for General Graph-Filter-Based Signal Recovery
Lital Dabush, Tirza Routtenberg
Sensor placement plays a crucial role in graph signal recovery in underdetermined systems. In this paper, we present the graph-filtered regularized maximum likelihood (GFR-ML) esti…
eess.SP2023
Verifying the Smoothness of Graph Signals: A Graph Signal Processing Approach
Lital Dabush, Tirza Routtenberg
Graph signal processing (GSP) deals with the representation, analysis, and processing of structured data, i.e. graph signals that are defined on the vertex set of a generic graph.…
eess.SP2021★ 2 cited
State Estimation in Unobservable Power Systems via Graph Signal Processing Tools
Lital Dabush, Ariel Kroizer, Tirza Routtenberg
We consider the problem of estimating the states in an unobservable power system. To this end, we propose novel graph signal processing (GSP) methods. For simplicity, we start with…