Graph

Introduction to graph signal processing pdf

Introduction to graph signal processing pdf
  1. Why graph signal processing?
  2. What is graph in DSP?
  3. How is graph a signal?

Why graph signal processing?

Graph Signal Processing provides a new perspective for network data processing and its theoretical tools, such as Graph Fourier transform, graph sampling, reconstruction, graph filter, and graph wavelet.

What is graph in DSP?

A DSP program is often represented using a DFG, which is a directed graph (i.e., each edge has a distinct direction) that describes the program (see also Section 1.4. 3). For example, the program y(n) = ay(n − 1) + x(n) is graphically represented in Fig. 2.1(a). A simplified version of this program is shown in Fig.

How is graph a signal?

Formal Definition of Graph Signal

We can represent a graph G as a set of vertices V, edges E, and a weight matrix W as follows. Edges can have different weights and weight matrix will store these values. Let the cardinality of V to be N (|V| = N). This means that there are N vertices in our graph.

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