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20172022
most citedGraph Signal Processing -- Part II: Processing and Analyzing Signals on Graphs

11 citations · 38 across the 13 of their papers we have counts for

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6 papers · 1 filter

eess.SP2020

A Probabilistic Spectral Analysis of Multivariate Real-Valued Nonstationary Signals

Bruno Scalzo, Ljubisa Stankovic, Danilo P. Mandic

A class of multivariate spectral representations for real-valued nonstationary random variables is introduced, which is characterised by a general complex Gaussian distribution. In…

eess.SP2019

Portfolio Cuts: A Graph-Theoretic Framework to Diversification

Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides +1

Investment returns naturally reside on irregular domains, however, standard multivariate portfolio optimization methods are agnostic to data structure. To this end, we investigate…

eess.SP2019

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

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

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.SP20192 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…