AI RESEARCH
Adaptive Spatio-temporal Estimation on the Graph Edges via Line Graph Transformation
arXiv CS.LG
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ArXi:2311.00656v4 Announce Type: replace-cross Spatial-temporal estimation of signals on graph edges is challenging because most conventional Graph Signal Processing techniques are defined on the graph nodes. Leveraging the Line Graph transform, the Line Graph Least Mean Square (LGLMS) algorithm unifies the Line Graph transformation with classical adaptive filters, reinterpreting online estimation techniques for time-varying signals on graph edges.