activity
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

collaborators
Showing cs.ITShow all

12 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

On the Sparsity Bound for the Existence of a Unique Solution in Compressive Sensing by the Gershgorin Theorem

Ljubisa Stankovic

Since compressive sensing deals with a signal reconstruction using a reduced set of measurements, the existence of a unique solution is of crucial importance. The most important ap…

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

The Support Uncertainty Principle and the Graph Rihaczek Distribution: Revisited and Improved

Ljubisa Stankovic

The classical support uncertainty principle states that the signal and its discrete Fourier transform (DFT) cannot be localized simultaneously in an arbitrary small area in the tim…

cs.IT2020

RANSAC-Based Signal Denoising Using Compressive Sensing

Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic +2

In this paper, we present an approach to the reconstruction of signals exhibiting sparsity in a transformation domain, having some heavily disturbed samples. This sparsity-driven s…

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,…