[引用][C] Understanding the basis of graph signal processing via an intuitive example-driven approach
L Stanković, D Mandic, M Daković, I Kisil, E Sejdic… - IEEE Signal Processing …, 2019
Understanding the basis of graph signal processing via an intuitive example-driven approach [lecture notes]
Graphs are irregular structures that naturally represent the multifaceted data attributes;
however, traditional approaches have been established outside signal processing and
largely focus on analyzing the underlying graphs rather than signals on graphs. Given the
rapidly increasing availability of multisensor and multinode measurements, likely recorded
on irregular or ad hoc grids, it would be extremely advantageous to analyze such structured
data as" signals on graphs" and thus benefit from the ability of graphs to incorporate spatial …
however, traditional approaches have been established outside signal processing and
largely focus on analyzing the underlying graphs rather than signals on graphs. Given the
rapidly increasing availability of multisensor and multinode measurements, likely recorded
on irregular or ad hoc grids, it would be extremely advantageous to analyze such structured
data as" signals on graphs" and thus benefit from the ability of graphs to incorporate spatial …
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