Victor Sucic

35 papers C 4Misc 1Journal 19Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
Analysis of the Image Tiling Influence in its Sparse Reconstruction.
ICT
Ivan Volaric, Victor Sucic
2024 J jnl
A Fast Intersection of Confidence Intervals Method-Based Adaptive Thresholding for Sparse Image Reconstruction Using the Matrix Form of the Wavelet Transform.
Inf.
Ivan Volaric, Victor Sucic
2021 C conf
A Sparse TFD Reconstruction Approach Using the S-method and Local Entropies Information.
ISPA
Vedran Jurdana, Ivan Volaric, Victor Sucic
2021 J jnl
Sparse time-frequency distribution reconstruction based on the 2D Rényi entropy shrinkage algorithm.
Digit. Signal Process.
Vedran Jurdana, Ivan Volaric, Victor Sucic
2019 C conf
Sparse Time-Frequency Distribution Calculation with an Adaptive Thresholding Algorithm.
ISPA
Ivan Volaric, Victor Sucic, Götz Bokelmann
2019 J jnl
Sparse time-frequency distributions based on the $$\ell _1$$ ℓ 1 -norm minimization with the fast intersection of confidence intervals rule.
Signal Image Video Process.
Ivan Volaric, Victor Sucic
2017 J jnl
A Fast Signal Denoising Algorithm Based on the LPA-ICI Method for Real-Time Applications.
Circuits Syst. Signal Process.
Ivan Volaric, Jonatan Lerga, Victor Sucic
2017 J jnl
A data driven compressive sensing approach for time-frequency signal enhancement.
Signal Process.
Ivan Volaric, Victor Sucic, Srdjan Stankovic
2017 J jnl
Improved LPA-ICI-based estimators embedded in a signal denoising virtual instrument.
Signal Image Video Process.
Gordan Segon, Jonatan Lerga, Victor Sucic
2016 J jnl
Optimization of quadratic time-frequency distributions using the local Rényi entropy information.
Signal Process.
Nicoletta Saulig, Irena Orovic, Victor Sucic
2015 C conf
A compressive sensing based method for cross-terms suppression in the time-frequency plane.
BIBE
Ivan Volaric, Victor Sucic, Zlatan Car
2014 J jnl
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection.
Digit. Signal Process.
Victor Sucic, Nicoletta Saulig, Boualem Boashash
2014 J jnl
Guest Editorial: Special Issue on Compressive Sensing and Robust Transforms.
IET Signal Process.
Srdjan Stankovic, Thayananthan Thayaparan, Victor Sucic
2014 J jnl
Multicomponent noisy signal adaptive instantaneous frequency estimation using components time support information.
IET Signal Process.
Victor Sucic, Jonatan Lerga, Boualem Boashash
2014 — conf
Submarine optical networks: How to make them greener.
ICTON
Irena Jurdana, Victor Sucic
2013 J jnl
Adaptive filter support selection for signal denoising based on the improved ICI rule.
Digit. Signal Process.
Victor Sucic, Jonatan Lerga, Miroslav Vrankic
2013 — conf
Instantaneous counting of components in nonstationary signals.
EUSIPCO
Nicoletta Saulig, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin, Victor Sucic
2013 C conf
On the reference signal parameters in the cross wigner-ville distribution based instantaneous frequency estimation method.
ISPA
Damir Malnar, Victor Sucic
2012 — conf
A cross-terms geometry based method for components instantaneous frequency estimation using the Cross Wigner-Ville distribution.
ISSPA
Damir Malnar, Victor Sucic, Boualem Boashash
2012 J jnl
Averaged multiple L-spectrogram for analysis of noisy nonstationary signals.
Signal Process.
Srdjan Stankovic, Irena Orovic, Victor Sucic
2011 J jnl
An Efficient Algorithm for Instantaneous Frequency Estimation of Nonstationary Multicomponent Signals in Low SNR.
EURASIP J. Adv. Signal Process.
Jonatan Lerga, Victor Sucic, Boualem Boashash
2011 J jnl
Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy.
EURASIP J. Adv. Signal Process.
Victor Sucic, Nicoletta Saulig, Boualem Boashash
2011 — conf
Remote laboratory for microcontroller systems design.
MIPRO
Paolo Zenzerovic, Victor Sucic
2011 J jnl
Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule.
Informatica
Jonatan Lerga, Victor Sucic, Miroslav Vrankic
2010 J jnl
Adaptive 2-D Wavelet Transform Based on the Lifting Scheme With Preserved Vanishing Moments.
IEEE Trans. Image Process.
Miroslav Vrankic, Damir Sersic, Victor Sucic
2010 — conf
An instantaneous frequency estimation method based on the improved sliding pair-wise ICI rule.
ISSPA
Jonatan Lerga, Victor Sucic
2009 J jnl
Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule.
IEEE Signal Process. Lett.
Jonatan Lerga, Victor Sucic
2008 J jnl
A Signal Denoising Method Based on the Improved ICI Rule.
IEEE Signal Process. Lett.
Jonatan Lerga, Miroslav Vrankic, Victor Sucic
2007 — conf
Renyi entropy of quadratic time-frequency distributions: effects of signal's parameters.
ISSPA
M. Balakrishnan Malarvili, Victor Sucic, Mostefa Mesbah, Boualem Boashash
2003 — conf
An approach for selecting a real-life signal best-performing time-frequency distribution.
ISSPA (1)
Victor Sucic, Boualem Boashash
2003 J jnl
Resolution measure criteria for the objective assessment of the performance of quadratic time-frequency distributions.
IEEE Trans. Signal Process.
Boualem Boashash, Victor Sucic
2002 — conf
Selecting the optimal time-frequency distribution for real-life multicomponent signals under given constraints.
EUSIPCO
Victor Sucic, Boualem Boashash
2001 — conf
Optimisation algorithm for selecting quadratic time-frequency distributions: performance results and calibration.
ISSPA
Victor Sucic, Boualem Boashash
2001 Misc conf
Parameter selection for optimising time-frequency distributions and measurements of time-frequency characteristics of non-stationary signals.
ICASSP
Victor Sucic, Boualem Boashash
1999 — conf
Performance evaluation of the B-distribution.
ISSPA
Victor Sucic, Braham Barkat, Boualem Boashash