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Graph theoretic uncertainty principles
2015
2015 International Conference on Sampling Theory and Applications (SampTA)
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We develop a graph theoretic set of uncertainty principles with tight bounds for difference estimators acting simultaneously in the graph domain and the frequency domain. We show that the eigenfunctions of a modified graph Laplacian operator dictate the upper and lower bounds for the inequalities.
doi:10.1109/sampta.2015.7148912
fatcat:iij4curdefe5fbuwh2oeyoonuq