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 | 73 | 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 | 25 | 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 | 21 | 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 | 21 | 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 | 12 | 2017 |

Optimization of quadratic time–frequency distributions using the local Renyi entropy information N Saulig, I Orović, V Sucic Signal Processing 129, 17-24, 2016 | 12 | 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 | 10 | 2011 |

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 | 9 | 2019 |

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 | 6 | 2016 |

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 | 6 | 2011 |

Measures, performance assessment, and enhancement of TFDs B Boashash, S Touati, F Auger, P Flandrin, E Chassande-Mottin, ... Academic Press, 2016 | 4 | 2016 |

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 | 4 | 2009 |

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 | 3 | 2017 |

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 | 3 | 2017 |

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 | 2 | 2019 |

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 | 2 | 2013 |

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 | 2 | 2013 |

Nonstationary signal blind source separation using clustering algorithms Z Milanović, N Saulig, V Sucić Proceedings of International Conference on Innovative Technologies, 341-344, 2013 | 2 | 2013 |

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 | 2 | 2012 |

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 | 1 | 2020 |