activity
20162022
most citedA Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals

76 citations · 122 across the 24 of their papers we have counts for

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Showing cs.ITShow all

7 papers · 1 filter

cs.IT2021

Distance and Position Estimation in Visible Light Systems with RGB LEDs

Ilker Demirel, Sinan Gezici

In this manuscript, distance and position estimation problems are investigated for visible light positioning (VLP) systems with red-green-blue (RGB) light emitting diodes (LEDs). T…

cs.IT2021

Improved Coherence Index-Based Bound in Compressive Sensing

Ljubisa Stankovic, Milos Brajovic, Danilo Mandic +2

Within the Compressive Sensing (CS) paradigm, sparse signals can be reconstructed based on a reduced set of measurements. Reliability of the solution is determined by the uniquenes…

cs.IT20206 cited

Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications

Ljubisa Stankovic, Danilo Mandic, Milos Dakovic +4

Many modern data analytics applications on graphs operate on domains where graph topology is not known a priori, and hence its determination becomes part of the problem definition,…

cs.IT201911 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…

cs.IT2019

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…

cs.IT20192 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…