Unsupervised signal processing: channel equalization and source separation JMT Romano, R Attux, CC Cavalcante, R Suyama CRC Press, 2018 | 141 | 2018 |

Chaotic signals in digital communications M Eisencraft, R Attux, R Suyama CRC Press, 2018 | 94 | 2018 |

Unsupervised processing of geophysical signals: A review of some key aspects of blind deconvolution and blind source separation AK Takahata, EZ Nadalin, R Ferrari, LT Duarte, R Suyama, RR Lopes, ... IEEE Signal Processing Magazine 29 (4), 27-35, 2012 | 67 | 2012 |

Chaos-based communication systems in non-ideal channels M Eisencraft, RD Fanganiello, JMV Grzybowski, DC Soriano, R Attux, ... Communications in Nonlinear Science and Numerical Simulation 17 (12), 4707-4718, 2012 | 58 | 2012 |

A method for Lyapunov spectrum estimation using cloned dynamics and its application to the discontinuously-excited FitzHugh–Nagumo model DC Soriano, FI Fazanaro, R Suyama, JR de Oliveira, R Attux, MK Madrid Nonlinear Dynamics 67, 413-424, 2012 | 47 | 2012 |

Blind compensation of nonlinear distortions: Application to source separation of post-nonlinear mixtures LT Duarte, R Suyama, B Rivet, R Attux, JMT Romano, C Jutten IEEE Transactions on Signal Processing 60 (11), 5832-5844, 2012 | 25 | 2012 |

Blind search for optimal wiener equalizers using an artificial immune network model RRD Attux, MB Loiola, R Suyama, LN de Castro, FJ Von Zuben, ... Hindawi Publishing Corporation, 2003 | 25 | 2003 |

Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach FI Fazanaro, DC Soriano, R Suyama, MK Madrid, JR de Oliveira, ... Communications in Nonlinear Science and Numerical Simulation 37, 143-162, 2016 | 23 | 2016 |

An immune-inspired information-theoretic approach to the problem of ICA over a Galois field DG e Silva, R Attux, EZ Nadalin, LT Duarte, R Suyama 2011 IEEE Information Theory Workshop, 618-622, 2011 | 23 | 2011 |

A sparsity-based method for blind compensation of a memoryless nonlinear distortion: Application to ion-selective electrodes LT Duarte, R Suyama, R Attux, JMT Romano, C Jutten IEEE Sensors Journal 15 (4), 2054-2061, 2014 | 17 | 2014 |

Blind source separation of post-nonlinear mixtures using evolutionary computation and order statistics LT Duarte, R Suyama, RR de Faissol Attux, FJ Von Zuben, JMT Romano Independent Component Analysis and Blind Signal Separation: 6th …, 2006 | 17 | 2006 |

Blind extraction of chaotic sources from mixtures with stochastic signals based on recurrence quantification analysis DC Soriano, R Suyama, R Attux Digital Signal Processing 21 (3), 417-426, 2011 | 15 | 2011 |

A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order DG Silva, EZ Nadalin, GP Coelho, LT Duarte, R Suyama, R Attux, ... Signal Processing 96, 153-163, 2014 | 12 | 2014 |

Blind extraction of sparse components based on ℓ_{0}-norm minimizationLT Duarte, R Suyama, R Attux, JMT Romano, C Jutten 2011 IEEE Statistical Signal Processing Workshop (SSP), 617-620, 2011 | 11 | 2011 |

Sobre critérios para equalização não-supervisionada AO Neves, RRF Attux, R Suyama, MD Miranda, JMT Romano Sba: Controle & Automação Sociedade Brasileira de Automatica 17, 278-299, 2006 | 11 | 2006 |

Channel capacity in brain–computer interfaces TB da Silva Costa, LFS Uribe, SN de Carvalho, DC Soriano, G Castellano, ... Journal of neural engineering 17 (1), 016060, 2020 | 10 | 2020 |

A recurrence-based approach for feature extraction in brain-computer interface systems LFS Uribe, FI Fazanaro, G Castellano, R Suyama, R Attux, E Cardozo, ... Translational Recurrences: From Mathematical Theory to Real-World …, 2014 | 10 | 2014 |

Blind extraction of the sparsest component EZ Nadalin, AK Takahata, LT Duarte, R Suyama, R Attux Latent Variable Analysis and Signal Separation: 9th International Conference …, 2010 | 10 | 2010 |

Nonlinear blind source deconvolution using recurrent prediction-error filters and an artificial immune system C Wada, DM Consolaro, R Ferrari, R Suyama, R Attux, FJ Von Zuben Independent Component Analysis and Signal Separation: 8th International …, 2009 | 10 | 2009 |

An optimal MMSE fuzzy predictor for SISO and MIMO blind equalization R Ferrari, R Suyama, RR Lopes, RRF Attux, JMT Romano First IAPR workshop on cognitive information processing, 86-91, 2008 | 10 | 2008 |