Signal denoising on graphs via graph filtering

IEEE Global Conference on Signal and Information Processing
Volume: 2014, Pages: 872 - 876
Published: Dec 1, 2014
Abstract
Signal recovery from noisy measurements is an important task that arises in many areas of signal processing. In this paper, we consider this problem for signals represented with graphs using a recently developed framework of discrete signal processing on graphs. We formulate graph signal denoising as an optimization problem and derive an exact closed-form solution expressed by an inverse graph filter, as well as an approximate iterative solution...
Paper Details
Title
Signal denoising on graphs via graph filtering
Published Date
Dec 1, 2014
Journal
Volume
2014
Pages
872 - 876
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