activity
20142017
most citedPolynomial Fourier Domain as a Domain of Signal Sparsity

36 citations · 63 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IT2017★ 1 cited

Conditions for Unique Reconstruction of Sparse Signals Using Compressive Sensing Methods

Ljubisa Stankovic, Milos Dakovic, Srdjan Stankovic +1

A signal is sparse in one of its representation domain if the number of nonzero coefficients in that domain is much smaller than the total number of coefficients. Sparse signals ca…

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…