关注
Ricardo Suyama
Ricardo Suyama
在 ufabc.edu.br 的电子邮件经过验证
标题
引用次数
引用次数
年份
Unsupervised signal processing: channel equalization and source separation
JMT Romano, R Attux, CC Cavalcante, R Suyama
CRC Press, 2018
1402018
Chaotic signals in digital communications
M Eisencraft, R Attux, R Suyama
CRC Press, 2018
932018
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
672012
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
572012
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
442012
Blind search for optimal wiener equalizers using an artificial immune network model
RR de Faissol Attux, MB Loiola, R Suyama, LN de Castro, FJ Von Zuben, ...
EURASIP Journal on Advances in Signal Processing 2003, 1-8, 2003
262003
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
252012
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
232016
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
232011
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
172014
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
172006
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
152011
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
122014
Blind extraction of sparse components based on ℓ0-norm minimization
LT Duarte, R Suyama, R Attux, JMT Romano, C Jutten
2011 IEEE Statistical Signal Processing Workshop (SSP), 617-620, 2011
122011
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
112006
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
102020
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
102014
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
102010
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
102008
Least-squares support vector machines for DOA estimation: a step-by-step description and sensitivity analysis
CAM Lima, C Junqueira, R Suyama, FJ Von Zuben, JMT Romano
Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005
102005
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