Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals B Boashash Proceedings of the IEEE 80 (4), 520-538, 1992 | 2616 | 1992 |

Time-frequency signal analysis and processing: a comprehensive reference B Boashash Academic Press, 2015 | 2382 | 2015 |

A human identification technique using images of the iris and wavelet transform WW Boles, B Boashash IEEE transactions on signal processing 46 (4), 1185-1188, 1998 | 1814 | 1998 |

Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications B Boashash Proceedings of the IEEE 80 (4), 540-568, 1992 | 1178 | 1992 |

Time-frequency signal analysis B Boashash advances in Spectrum Estimation, 1993 | 823 | 1993 |

The bootstrap and its application in signal processing AM Zoubir, B Boashash IEEE signal processing magazine 15 (1), 56-76, 1998 | 612 | 1998 |

An efficient real-time implementation of the Wigner-Ville distribution B Boashash, P Black IEEE transactions on acoustics, speech, and signal processing 35 (11), 1611-1618, 1987 | 465 | 1987 |

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data O Abdeljaber, O Avci, MS Kiranyaz, B Boashash, H Sodano, DJ Inman Neurocomputing 275, 1308-1317, 2018 | 401 | 2018 |

Note on the use of the Wigner distribution for time-frequency signal analysis B Boashash IEEE Transactions on Acoustics, Speech, and Signal Processing 36 (9), 1518-1521, 1988 | 319 | 1988 |

Polynomial Wigner-Ville distributions and their relationship to time-varying higher order spectra B Boashash, P O'Shea IEEE Transactions on Signal Processing 42 (1), 216-220, 1994 | 294 | 1994 |

A high-resolution quadratic time-frequency distribution for multicomponent signals analysis B Barkat, B Boashash IEEE Transactions on Signal Processing 49 (10), 2232-2239, 2001 | 215 | 2001 |

A methodology for detection and classification of some underwater acoustic signals using time-frequency analysis techniques B Boashash, P O'shea IEEE Transactions on Acoustics, Speech, and Signal Processing 38 (11), 1829-1841, 1990 | 206 | 1990 |

Time–frequency features for pattern recognition using high-resolution TFDs: A tutorial review B Boashash, NA Khan, T Ben-Jabeur Digital Signal Processing 40, 1-30, 2015 | 186 | 2015 |

Signal enhancement by time-frequency peak filtering B Boashash, M Mesbah IEEE Transactions on signal processing 52 (4), 929-937, 2004 | 182 | 2004 |

Adaptive instantaneous frequency estimation of multicomponent FM signals using quadratic time-frequency distributions ZM Hussain, B Boashash IEEE Transactions on Signal Processing 50 (8), 1866-1876, 2002 | 169 | 2002 |

Use of the cross Wigner-Ville distribution for estimation of instantaneous frequency B Boashash, P O'shea IEEE Transactions on Signal Processing 41 (3), 1439-1445, 1993 | 159 | 1993 |

Comments on" The Cramer-Rao lower bounds for signals with constant amplitude and polynomial phase B Ristic, B Boashash IEEE Transactions on Signal Processing 46 (6), 1708-1709, 1998 | 157 | 1998 |

Separating more sources than sensors using time-frequency distributions N Linh-Trung, A Belouchrani, K Abed-Meraim, B Boashash EURASIP Journal on Advances in Signal Processing 2005, 1-20, 2005 | 155 | 2005 |

Instantaneous frequency estimation of polynomial FM signals using the peak of the PWVD: Statistical performance in the presence of additive Gaussian noise B Barkat, B Boashash IEEE Transactions on Signal Processing 47 (9), 2480-2490, 1999 | 153 | 1999 |

IF estimation for multicomponent signals using image processing techniques in the time–frequency domain L Rankine, M Mesbah, B Boashash Signal Processing 87 (6), 1234-1250, 2007 | 152 | 2007 |