Digital watermarking in the fractional Fourier transformation domain I Djurovic, S Stankovic, I Pitas Journal of Network and Computer Applications 24 (2), 167-173, 2001 | 230 | 2001 |

Multimedia signals and systems: Basic and advanced algorithms for signal processing S Stanković, I Orović, E Sejdić Springer, 2015 | 224* | 2015 |

Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribution S Stankovic, I Djurovic, I Pitas IEEE transactions on image processing 10 (4), 650-658, 2001 | 212 | 2001 |

Compressive sensing based separation of nonstationary and stationary signals overlapping in time-frequency L Stanković, I Orović, S Stanković, M Amin IEEE Transactions on Signal Processing 61 (18), 4562-4572, 2013 | 177 | 2013 |

Missing samples analysis in signals for applications to L-estimation and compressive sensing L Stankovic, S Stankovic, M Amin Signal Processing 94, 401-408, 2014 | 174 | 2014 |

Instantaneous frequency in time–frequency analysis: Enhanced concepts and performance of estimation algorithms L Stanković, I Djurović, S Stanković, M Simeunović, S Djukanović, ... Digital Signal Processing 35, 1-13, 2014 | 152 | 2014 |

Local polynomial Fourier transform: A review on recent developments and applications X Li, G Bi, S Stankovic, AM Zoubir Signal Processing 91 (6), 1370-1393, 2011 | 118 | 2011 |

An analysis of instantaneous frequency representation using time-frequency distributions-generalized Wigner distribution LJ Stankovic, S Stankovic IEEE Transactions on Signal Processing 43 (2), 549-552, 1995 | 118 | 1995 |

A new approach for classification of human gait based on time-frequency feature representations I Orović, S Stanković, M Amin Signal Processing 91 (6), 1448-1456, 2011 | 117 | 2011 |

A multitime definition of the Wigner higher order distribution: L-Wigner distribution S Stankovic L Stankovic IEEE Signal Processing Letters 1 (7), 106-109, 1994 | 112 | 1994 |

Compressive sensing meets time–frequency: An overview of recent advances in time–frequency processing of sparse signals E Sejdić, I Orović, S Stanković Digital signal processing 77, 22-35, 2018 | 111 | 2018 |

An automated signal reconstruction method based on analysis of compressive sensed signals in noisy environment S Stanković, I Orović, L Stanković Signal Processing 104, 43-50, 2014 | 110 | 2014 |

Robust time-frequency analysis based on the L-estimation and compressive sensing LJ Stankovic, S Stankovic, I Orovic, MG Amin Signal Processing Letters, IEEE 20 (5), 499-502, 2013 | 103 | 2013 |

Compressive sensing in signal processing: algorithms and transform domain formulations I Orović, V Papić, C Ioana, X Li, S Stanković Mathematical Problems in Engineering 2016, 2016 | 88 | 2016 |

Multiwindow S-method for instantaneous frequency estimation and its application in radar signal analysis I Orović, S Stanković, T Thayaparan, LJ Stanković IET Signal Processing 4 (4), 363-370, 2010 | 88 | 2010 |

An architecture for the realization of a system for time-frequency signal analysis S Stankovic, LJ Stankovic IEEE Transactions on Circuits and Systems II: Analog and Digital Signal …, 1997 | 79 | 1997 |

A tutorial on sparse signal reconstruction and its applications in signal processing L Stanković, E Sejdić, S Stanković, M Daković, I Orović Circuits, Systems, and Signal Processing 38, 1206-1263, 2019 | 74 | 2019 |

Generalized representation of phase derivatives for regular signals C Cornu, S Stankovic, C Ioana, A Quinquis, L Stankovic IEEE Transactions on Signal Processing 55 (10), 4831-4838, 2007 | 70* | 2007 |

A virtual instrument for time-frequency analysis of signals with highly nonstationary instantaneous frequency I Orovic, M Orlandic, S Stankovic, Z Uskokovic IEEE transactions on Instrumentation and Measurement 60 (3), 791-803, 2010 | 68 | 2010 |

Introducing time-frequency distribution with a'complex-time'argument S Stankovic, LJ Stankovic Electronics Letters 32 (14), 1265-1267, 1996 | 67 | 1996 |