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Signal processing on graph is attracting more and more attention. For a graph signal in the low-frequency subspace, the missing data on the vertices of graph can be reconstructed through the sampled data by exploiting the smoothness of graph signal. In this paper, two iterative methods are proposed to reconstruct bandlimited graph signal from sampled data. In each iteration, one of the proposed methods...
Signal processing on graphs is an emerging field that attracts increasing attention. For applications such as multiscale transforms on graphs, it is often necessary to get a coarsened version of graph signal with its underlying graph. However, most of the existing methods use only topology information but no property of graph signals to complete the process. In this paper, we propose a novel graph...
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