Efficient Approximation and Denoising of Graph Signals Using the Multiscale Basis Dictionaries
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DOI: 10.1109/tsipn.2016.2632039
Abstract: We propose methods to efficiently approximate and denoise signals sampled on the nodes of graphs using our overcomplete multiscale transforms/basis dictionaries for such graph signals: the hierarchical graph Laplacian eigen transform (HGLET) and the generalized… read more here.
Keywords: approximation denoising; basis; graph signals; basis dictionaries ... See more keywords