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20172026
most citedGraph Signal Processing -- Part II: Processing and Analyzing Signals on Graphs

11 citations · 42 across the 11 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.IT2019★ 11 cited

Graph Signal Processing -- Part II: Processing and Analyzing Signals on Graphs

Ljubisa Stankovic, Danilo Mandic, Milos Dakovic +3

The focus of Part I of this monograph has been on both the fundamental properties, graph topologies, and spectral representations of graphs. Part II embarks on these concepts to ad…

eess.SP2019

On reconstruction algorithms for signals sparse in Hermite and Fourier domains

Milos Brajovic

This thesis consists of original contributions in the area of digital signal processing. The reconstruction of signals sparse (highly concentrated) in various transform domains is…

cs.IT2019★ 10 cited

Graph Signal Processing -- Part I: Graphs, Graph Spectra, and Spectral Clustering

Ljubisa Stankovic, Danilo Mandic, Milos Dakovic +3

The area of Data Analytics on graphs promises a paradigm shift as we approach information processing of classes of data, which are typically acquired on irregular but structured do…

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…

cs.IT2019

Quantization in Compressive Sensing: A Signal Processing Approach

Isidora Stankovic, Milos Brajovic, Milos Dakovic +2

Influence of the finite-length registers and quantization effects on the reconstruction of sparse and approximately sparse signals is analyzed in this paper. For the nonquantized m…

cs.IT2019★ 2 cited

On the Decomposition of Multivariate Nonstationary Multicomponent Signals

Ljubisa Stankovic, Milos Brajovic, Milos Dakovic +1

With their ability to handle an increased amount of information, multivariate and multichannel signals can be used to solve problems normally not solvable with signals obtained fro…