Abstract: Signals defined on a network or a graph are often prone to errors due to missing data and noise. In order to restore the graph signal, interpolation and denoising are two necessary steps ...

Abstract: Graph structure is a powerful framework for the characterization of interaction between entities. In the context of graph signal processing, interpolation methods are based on the smoothness ...

Polynomial interpolation to analytic functions can be very accurate, depending on the distribution of the interpolation nodes. However, in equispaced nodes and the like, besides being badly ...

Note that interpolating values of a time series does not add any real information to the data as the interpolation process is not the same process that generated the other (nonmissing) values in the ...

Graphs can have: positive correlation; negative correlation; or no correlation. Positive correlation means as one variable increases, so does the other variable. They have a positive connection.