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

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT20171 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.MM20171 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

Sparse Time-Frequency Representation for Signals with Fast Varying Instantaneous Frequency

Irena Orovic, Andjela Draganic, Srdjan Stankovic

Time-frequency distributions have been used to provide high resolution representation in a large number of signal processing applications. However, high resolution and accurate ins…

cs.IT2015

Hardware Architecture for Single Iteration Reconstruction Algorithm

Andjela Draganic, Irena Orovic, Nedjeljko Lekic +2

A hardware architecture for the single iteration algorithm is proposed in this paper. Single iteration algorithm enables reconstruction of the full signal when small number of sign…