activity
20152019
most citedOn some common compressive sensing recovery algorithms and applications - Review paper

21 citations · 26 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SP2019

Analysis of non-stationary multicomponent signals with a focus on the Compressive Sensing approach

Andjela Draganic

The characterization of multicomponent signals with a particular emphasis on musical and communication signals is one of the problems studied in the dissertation. In order to provi…

cs.CV2017

Detection of irregular QRS complexes using Hermite Transform and Support Vector Machine

Zoja Vulaj, Milos Brajovic, Andjela Draganic +1

Computer based recognition and detection of abnormalities in ECG signals is proposed. For this purpose, the Support Vector Machines (SVM) are combined with the advantages of Hermit…

cs.IT2017★ 21 cited

On some common compressive sensing recovery algorithms and applications - Review paper

Andjela Draganic, Irena Orovic, Srdjan Stankovic

Compressive Sensing, as an emerging technique in signal processing is reviewed in this paper together with its common applications. As an alternative to the traditional signal samp…

cs.CE2017★ 4 cited

A tool for ECG signal analysis using standard and optimized Hermite transform

Zoja Vulaj, Andjela Draganic, Milos Brajovic +1

The development of a system that would ease the diagnosis of heart diseases would also fasten the work of the cardiologic department in hospitals and facilitate the monitoring of p…

cs.MM2017★ 1 cited

Identification of image source using serialnumber-based watermarking under Compressive Sensing conditions

Andjela Draganic, Milan Maric, Irena Orovic +1

Although the protection of ownership and the prevention of unauthorized manipulation of digital images becomes an important concern, there is also a big issue of image source origi…

cs.IT2015

A System for Compressive Sensing Signal Reconstruction

Irena Orovic, Andjela Draganic, Nedjeljko Lekic +1

An architecture for hardware realization of a system for sparse signal reconstruction is presented. The threshold based reconstruction method is considered, which is further modifi…