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20132024
most citedGraph Signal Processing -- Part II: Processing and Analyzing Signals on Graphs

11 citations · 56 across the 19 of their papers we have counts for

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5 papers · 1 filter

eess.SP2023★ 1 cited

Eigenvalues of Symmetric Non-normalized Discrete Trigonometric Transforms

Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah +1

A comprehensive approach to the spectrum characterization (derivation of eigenvalues and the corresponding multiplicities) for non-normalized, symmetric discrete trigonometric tran…

eess.SP2019★ 5 cited

Unitary Shift Operators on a Graph

Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic +2

A unitary shift operator (GSO) for signals on a graph is introduced, which exhibits the desired property of energy preservation over both backward and forward graph shifts. For rig…

eess.SP2019★ 1 cited

A Class of Doubly Stochastic Shift Operators for Random Graph Signals and their Boundedness

Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic +2

A class of doubly stochastic graph shift operators (GSO) is proposed, which is shown to exhibit: (i) lower and upper -boundedness for locally stationary random graph signals…

eess.SP2019★ 2 cited

Vertex-Frequency Graph Signal Processing: A review

Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic +4

Graph signal processing deals with signals which are observed on an irregular graph domain. While many approaches have been developed in classical graph theory to cluster vertices…

eess.SP2019★ 2 cited

An Example-Driven Introduction to Data Analytics on Graphs

Ljubisa Stankovic, Danilo Mandic, Milos Dakovic +3

Graphs are irregular structures which naturally account for data integrity, however, traditional approaches have been established outside Signal Processing, and largely focus on an…