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, 1-11, 2011 | 109 | 2011 |

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 | 44 | 2014 |

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 | 37 | 2017 |

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 | 31 | 2013 |

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 | 29 | 2017 |

Optimization of quadratic time–frequency distributions using the local Rényi entropy information N Saulig, I Orović, V Sucic Signal processing 129, 17-24, 2016 | 26 | 2016 |

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 | 25 | 2019 |

Measures, performance assessment, and enhancement of TFDs B Boashash, S Touati, F Auger, P Flandrin, E Chassande-Mottin, ... Elsevier Inc., 2016 | 15 | 2016 |

A novel approach to extracting useful information from noisy TFDs using 2D local entropy measures A Vranković, J Lerga, N Saulig EURASIP Journal on Advances in Signal Processing 2020 (1), 18, 2020 | 13 | 2020 |

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 | 13 | 2017 |

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 | 13 | 2016 |

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 | 12 | 2011 |

Signal content estimation based on the short-term time-frequency Rényi 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 | 11 | 2012 |

Rule-based EEG classifier utilizing local entropy of time–frequency distributions J Lerga, N Saulig, L Stanković, D Seršić Mathematics 9 (4), 451, 2021 | 10 | 2021 |

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 | 8 | 2011 |

Overcurrent relay optimization in a radial distribution network considering different fault locations M Rojnić, R Prenc, D Topić, N Saulig Electrical engineering 105 (2), 1093-1109, 2023 | 7 | 2023 |

Block-adaptive Rényi entropy-based denoising for non-stationary signals N Saulig, J Lerga, S Miličić, Ž Tomasović Sensors 22 (21), 8251, 2022 | 7 | 2022 |

Wavelets and stochastic theory: Past and future M Milovanović, BM Tomić, N Saulig Chaos, Solitons & Fractals 173, 113724, 2023 | 6 | 2023 |

On optimal parameters for ICI-based adaptive filtering applied to the GWs in high noise N Lopac, J Lerga, N Saulig, L Stanković, M Daković 2021 6th International Conference on Smart and Sustainable Technologies …, 2021 | 6 | 2021 |

Signal useful information recovery by overlapping supports of time-frequency representations N Saulig, M Milovanović, S Miličić, J Lerga IEEE transactions on signal processing 70, 5504-5517, 2022 | 5 | 2022 |