Empirical mode decomposition as a filter bank P Flandrin, G Rilling, P Goncalves IEEE signal processing letters 11 (2), 112-114, 2004 | 3278 | 2004 |

On empirical mode decomposition and its algorithms G Rilling, P Flandrin, P Goncalves IEEE-EURASIP workshop on nonlinear signal and image processing 3 (3), 8-11, 2003 | 2336 | 2003 |

Bivariate empirical mode decomposition G Rilling, P Flandrin, P Gonçalves, JM Lilly IEEE signal processing letters 14 (12), 936-939, 2007 | 714 | 2007 |

Empirical mode decompositions as data-driven wavelet-like expansions P Flandrin, P Goncalves International journal of wavelets, multiresolution and information …, 2004 | 405 | 2004 |

Detrending and denoising with empirical mode decompositions P Flandrin, P Goncalves, G Rilling 2004 12th European signal processing conference, 1581-1584, 2004 | 394 | 2004 |

EMD equivalent filter banks, from interpretation to applications P Flandrin, P Gonçalves, G Rilling Hilbert-Huang transform and its applications, 57-74, 2005 | 355 | 2005 |

Time-frequency toolbox F Auger, P Flandrin, P Gonçalvès, O Lemoine CNRS France-Rice University 46, 1996 | 329* | 1996 |

Wavelets, spectrum analysis and 1/*f* processesP Abry, P Gonçalvés, P Flandrin Wavelets and statistics, 15-29, 1995 | 289* | 1995 |

Contribution of multispectral and multitemporal information from MODIS images to land cover classification H Carrão, P Gonçalves, M Caetano Remote Sensing of Environment 112 (3), 986-997, 2008 | 255 | 2008 |

Time-frequency toolbox for use with MATHLAB F Auger, P Flandrin, P Gonçalves, O Lemoine CNRS?, 1997 | 254 | 1997 |

Empirical mode decomposition, fractional Gaussian noise and Hurst exponent estimation G Rilling, P Flandrin, P Gonçalves Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 110 | 2005 |

Computational methods for hidden Markov tree models-An application to wavelet trees JB Durand, P Goncalves, Y Guédon IEEE Transactions on Signal Processing 52 (9), 2551-2560, 2004 | 101 | 2004 |

Pseudo affine Wigner distributions: Definition and kernel formulation P Gonçalves, RG Baraniuk IEEE Transactions on Signal Processing 46 (6), 1505-1516, 1998 | 101 | 1998 |

Design of graph filters and filterbanks N Tremblay, P Gonçalves, P Borgnat Cooperative and Graph Signal Processing, 299-324, 2018 | 97 | 2018 |

Translation on graphs: An isometric shift operator B Girault, P Gonçalves, É Fleury IEEE Signal Processing Letters 22 (12), 2416-2420, 2015 | 97 | 2015 |

Wavelet-based spectral analysis of 1/f processes P Abry, P Gonçalves, P Flandrin 1993 IEEE International Conference on Acoustics, Speech, and Signal …, 1993 | 96 | 1993 |

Scaling, fractals and wavelets P Abry, P Goncalves, JL Véhel John Wiley & Sons, 2013 | 92 | 2013 |

Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs B Ricaud, P Borgnat, N Tremblay, P Gonçalves, P Vandergheynst Comptes Rendus. Physique 20 (5), 474-488, 2019 | 82 | 2019 |

Investigating self-similarity and heavy-tailed distributions on a large-scale experimental facility P Loiseau, P Gonçalves, G Dewaele, P Borgnat, P Abry, PVB Primet IEEE/ACM Transactions on Networking 18 (4), 1261-1274, 2010 | 77 | 2010 |

Geometry of affine time–frequency distributions P Flandrin, P Gonçalves Applied and computational harmonic analysis 3 (1), 10-39, 1996 | 73 | 1996 |