36 citations · 59 across the 7 of their papers we have counts for
8 papers
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…
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…
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…
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…
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…
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…