Nicoletta Saulig
Nicoletta Saulig
Juraj Dobrila University of Pula, University of Rijeka
Verified email at unipu.hr
Title
Cited by
Cited by
Year
Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy
V Sucic, N Saulig, B Boashash
EURASIP Journal on Advances in Signal Processing 2011 (1), 1-11, 2011
732011
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection
V Sucic, N Saulig, B Boashash
Digital Signal Processing: A Review Journal 34, 56-66, 2014
252014
Algorithm based on the short-term Rényi entropy and IF estimation for noisy EEG signals analysis
J Lerga, N Saulig, V Mozetič
Computers in biology and medicine 80, 1-13, 2017
212017
Instantaneous counting of components in nonstationary signals
N Saulig, N Pustelnik, P Borgnat, P Flandrin, V Sucic
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
212013
A local entropy-based algorithm for information content extraction from time–frequency distributions of noisy signals
N Saulig, Ž Milanović, C Ioana
Digital Signal Processing 70, 155-165, 2017
122017
Optimization of quadratic time–frequency distributions using the local Renyi entropy information
N Saulig, I Orović, V Sucic
Signal Processing 129, 17-24, 2016
122016
An automatic time-frequency procedure for interference suppression by exploiting their geometrical features
N Saulig, V Sucic, B Boashash
International Workshop on Systems, Signal Processing and their Applications …, 2011
102011
Extraction of useful information content from noisy signals based on structural affinity of clustered tfds’ coefficients
N Saulig, J Lerga, Ž Milanović, C Ioana
IEEE Transactions on Signal Processing 67 (12), 3154-3167, 2019
92019
Number of EEG signal components estimated using the short-term Rényi entropy
J Lerga, N Saulig, V Mozetic, R Lerga
2016 International Multidisciplinary Conference on Computer and Energy …, 2016
62016
Nonstationary signals information content estimation based on the local Rényi entropy in the time-frequency domain
N Saulig, V Sucic
Proceedings of the 11th International Conference on Telecommunications, 465-472, 2011
62011
Measures, performance assessment, and enhancement of TFDs
B Boashash, S Touati, F Auger, P Flandrin, E Chassande-Mottin, ...
Academic Press, 2016
42016
Signal representation quality enhancement by applying mathematical operations to time-frequency distributions
N Saulig, V SUČIĆ, N Stojković
Engineering Review: Međunarodni časopis namijenjen publiciranju originalnih …, 2009
42009
TFD thresholding in estimating the number of EEG components and the dominant if using the short-term rényi entropy
J Lerga, N Saulig, R Lerga, I Štajduhar
Proceedings of the 10th International Symposium on Image and Signal …, 2017
32017
Effects of TFD thresholding on EEG signal analysis based on the local Rényi entropy
J Lerga, N Saulig, R Lerga, Ž Milanović
2017 2nd International Multidisciplinary Conference on Computer and Energy …, 2017
32017
Signal feature recognition in time-frequency domain using edge detection algorithms
Ž Milanović, N Saulig, I Marasović
2019 4th International Conference on Smart and Sustainable Technologies …, 2019
22019
Entropy based extraction and classification of frequency hopping signals from their TFDs
N Saulig, Ž Milanović, I Orović, S Stanković, V Sucic
Proceedings ELMAR-2013, 169-172, 2013
22013
A comparison of quadratic TFDs for entropy based detection of components time supports in multicomponent nonstationary signal mixtures
N Saulig, V Sucic, B Boashash, D Seršić
2013 8th International Workshop on Systems, Signal Processing and their …, 2013
22013
Nonstationary signal blind source separation using clustering algorithms
Z Milanović, N Saulig, V Sucić
Proceedings of International Conference on Innovative Technologies, 341-344, 2013
22013
Signal content estimation based on the short-term time-frequency Renyi entropy of the S-method time-frequency distribution
N Saulig, V Sucic, S Stanković, I Orović, B Boashash
2012 19th International Conference on Systems, Signals and Image Processing …, 2012
22012
Improved power system state estimator with preprocessing based on the modified intersection of confidence intervals
V Kirinčić, J Lerga, N Saulig, D Franković
Sustainable Energy, Grids and Networks 21, 100323, 2020
12020
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Articles 1–20