The paper claims transient error expressions for graph-signal LMS and RLS, but the derivation wrongly collapses the sum of all past noise samples into one term.
TempGNN: A Tempera- ture-Based Graph Neural Network Model for System -Level Monitoring of Wind Turbines With SCADA Data,
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Transient Error Analysis of the LMS and RLS Algorithm for Graph Signal Estimation
The paper claims transient error expressions for graph-signal LMS and RLS, but the derivation wrongly collapses the sum of all past noise samples into one term.