A-Optimal Sampling and Robust Reconstruction for Graph Signals via Truncated Neumann Series
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DOI: 10.1109/lsp.2018.2818062
Abstract: Graph signal processing (GSP) studies signals that live on irregular data kernels described by graphs. One fundamental problem in GSP is sampling—from which subset of graph nodes to collect samples in order to reconstruct a… read more here.
Keywords: reconstruction; truncated neumann; neumann series; graph signals ... See more keywords