Hector Chahuara

Online Proximal ADMM for Graph Learning from Streaming Smooth Signals

Graph signal processing deals with algorithms and signal representations that leverage graph structures for multivariate data analysis. Often said graph topology is not readily available and may be time-varying, hence (dynamic) graph structure learning from nodal (e.g., sensor) observations becomes…