Learning Parametric Dictionaries for Signals on Graphs

In sparse signal representation, the choice of a dictionary often involves a tradeoff between two desirable properties - the ability to adapt to specific signal data and a fast implementation of the dictionary. To sparsely represent signals residing on weighted graphs, an additional design challenge...

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