Digital signal processing on graphs

The concepts of digital signal processing, which are presented in the form of weighted graphs, are considered, various filters are applied to clean up the noise of a signal sample in the form of sensory and cluster graphs. Filters based on the thermal kernel method, the Taubin algorithm and the convolution of these algorithms are used. A comparative analysis of the application of these methods for signals in the form of sensor and cluster graphs is carried out.