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Srdjan Stankovic

Srdjan Stankovic

University of Montenegro
Montenegro

Overview

What is he best known for?

The fields of study he is best known for:

Artificial intelligence
Algorithm
Statistics

Srdjan Stankovic mostly deals with Time–frequency analysis, Algorithm, Signal processing, Fourier transform and Artificial intelligence. The concepts of his Time–frequency analysis study are interwoven with issues in Instantaneous phase and Speech recognition. Srdjan Stankovic interconnects Digital signal processing and Frequency domain in the investigation of issues within Algorithm.

His studies in Signal processing integrate themes in fields like Floating point, Estimator, Electronic engineering and Spectrogram. His research in Artificial intelligence intersects with topics in Radar, Computer vision and Pattern recognition. His studies deal with areas such as Reconstruction algorithm, Signal, Small set and Compressed sensing as well as Pattern recognition.

His most cited work include:

Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribution (133 citations)
Digital watermarking in the fractional Fourier transformation domain (132 citations)
Fast communication: Missing samples analysis in signals for applications to L-estimation and compressive sensing (124 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Algorithm, Compressed sensing, Time–frequency analysis, Signal and Artificial intelligence. His work carried out in the field of Algorithm brings together such families of science as Spectrogram, Representation, Fourier transform and Signal processing. Srdjan Stankovic combines subjects such as Signal reconstruction, Noise, Reconstruction algorithm, Mathematical optimization and Inverse synthetic aperture radar with his study of Compressed sensing.

His Time–frequency analysis research is multidisciplinary, incorporating perspectives in Estimation theory, Speech recognition, Frequency domain, Instantaneous phase and Electronic engineering. His Signal research is multidisciplinary, relying on both Wireless, Basis, Missing data and Hermite polynomials. Srdjan Stankovic has included themes like Computer vision and Pattern recognition in his Artificial intelligence study.

He most often published in these fields:

Algorithm (51.18%)
Compressed sensing (38.86%)
Time–frequency analysis (33.18%)

What were the highlights of his more recent work (between 2016-2021)?

Compressed sensing (38.86%)
Algorithm (51.18%)
Signal (29.38%)

In recent papers he was focusing on the following fields of study:

Srdjan Stankovic spends much of his time researching Compressed sensing, Algorithm, Signal, Signal reconstruction and Artificial intelligence. His Compressed sensing research includes themes of Time–frequency analysis, Noise, Gradient based algorithm, Signal processing and Electronic engineering. Many of his studies on Time–frequency analysis apply to Speech recognition as well.

Srdjan Stankovic integrates Algorithm with Domain in his research. His Signal research incorporates themes from Representation, Mathematical optimization, Missing data and Speedup. The Artificial intelligence study combines topics in areas such as Machine learning, Computer vision and Pattern recognition.

Between 2016 and 2021, his most popular works were:

Compressive sensing meets time-frequency: An overview of recent advances in time-frequency processing of sparse signals. (43 citations)
A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing (26 citations)
On the parameterization of Hermite transform with application to the compression of QRS complexes (25 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Decentralized Parameter Estimation by Consensus Based Stochastic Approximation

S S Stanković;M S Stankovic;D M Stipanovic.
IEEE Transactions on Automatic Control (2011)

285 Citations

Digital watermarking in the fractional Fourier transformation domain

Igor Djurovic;Srdjan Stankovic;Ioannis Pitas.
Journal of Network and Computer Applications (2001)

222 Citations

Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribution

S. Stankovic;I. Djurovic;I. Pitas.
IEEE Transactions on Image Processing (2001)

209 Citations

Fast communication: Missing samples analysis in signals for applications to L-estimation and compressive sensing

Ljubisa Stankovic;Srdjan Stankovic;Moeness Amin.
Signal Processing (2014)

192 Citations

Separation of target rigid body and micro-doppler effects in ISAR imaging

S. Stankovic;I. Djurovic;T. Thayaparan.
IEEE Transactions on Aerospace and Electronic Systems (2006)

174 Citations

Compressive Sensing Based Separation of Nonstationary and Stationary Signals Overlapping in Time-Frequency

Ljubisa Stankovic;Irena Orovic;Srdjan Stankovic;Moeness Amin.
IEEE Transactions on Signal Processing (2013)

168 Citations

Multimedia Signals and Systems

Srdjan Stankovic;Irena Orovic;Ervin Sejdic.
(2012)

143 Citations

Instantaneous frequency in time–frequency analysis: Enhanced concepts and performance of estimation algorithms

Ljubiša Stanković;Igor Djurović;Srdjan Stanković;Marko Simeunović.
Digital Signal Processing (2014)

131 Citations

Fast communication: An automated signal reconstruction method based on analysis of compressive sensed signals in noisy environment

Srdjan Stanković;Irena Orović;Ljubiša Stanković.
Signal Processing (2014)

130 Citations

Local polynomial Fourier transform: A review on recent developments and applications

Xiumei Li;Guoan Bi;Srdjan Stankovic;Abdelhak M. Zoubir.
Signal Processing (2011)

114 Citations

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Frequent Co-Authors

External Links

Personal Website for Srdjan Stankovic