Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals B Boashash Proceedings of the IEEE 80 (4), 520-538, 1992 | 2602* | 1992 |

Time-frequency signal analysis and processing: a comprehensive reference B Boashash Academic Press, 2015 | 2391* | 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 | 1632 | 1998 |

The bootstrap and its application in signal processing AM Zoubir, B Boashash IEEE signal processing magazine 15 (1), 56-76, 1998 | 535 | 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 | 374 | 1987 |

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 | 261 | 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 | 252 | 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 | 189 | 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 | 177 | 1990 |

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 | 156 | 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 | 144 | 1993 |

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 | 137 | 1999 |

Signal enhancement by time-frequency peak filtering B Boashash, M Mesbah IEEE Transactions on signal processing 52 (4), 929-937, 2004 | 135 | 2004 |

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 | 135 | 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 (17), 845079, 2005 | 132 | 2005 |

Time-frequency feature extraction of newborn EEG seizure using SVD-based techniques H Hassanpour, M Mesbah, B Boashash EURASIP Journal on Advances in Signal Processing 2004 (16), 898124, 2004 | 126 | 2004 |

Pattern recognition using invariants defined from higher order spectra: 2-D image inputs V Chandran, B Carswell, B Boashash, S Elgar IEEE Transactions on Image Processing 6 (5), 703-712, 1997 | 122 | 1997 |

Cross spectral analysis of nonstationary processes LB White, B Boashash IEEE Transactions on Information Theory 36 (4), 830-835, 1990 | 120 | 1990 |

Kernel design for time-frequency signal analysis using the Radon transform B Ristic, B Boashash IEEE Transactions on Signal Processing 41 (5), 1996-2008, 1993 | 119 | 1993 |

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 | 115 | 2015 |