R
Ricardo Suyama
Researcher at Universidade Federal do ABC
Publications - 79
Citations - 575
Ricardo Suyama is an academic researcher from Universidade Federal do ABC. The author has contributed to research in topics: Blind signal separation & Source separation. The author has an hindex of 11, co-authored 77 publications receiving 530 citations. Previous affiliations of Ricardo Suyama include State University of Campinas & University of São Paulo.
Papers
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Book
Unsupervised Signal Processing: Channel Equalization and Source Separation
TL;DR: Channel Equalization Source Separation and the Unsupervised Deconvolution Problem Fundamental Theorems Bussgang Algorithms The Shalvi-Weinstein Algorithm.
Journal ArticleDOI
Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation
Andre Kazuo Takahata,Everton Z. Nadalin,Rafael Ferrari,Leonardo Tomazeli Duarte,Ricardo Suyama,Renato R. Lopes,João Marcos Travassos Romano,Martin Tygel +7 more
TL;DR: This article presents illustrative results of the application, on both synthetic and real data, of a method for seismic deconvolution that combines techniques of blind deconVolution and blind source separation.
Journal ArticleDOI
Chaos-based communication systems in non-ideal channels
Marcio Eisencraft,Renato D. Fanganiello,J.M.V. Grzybowski,Diogo C. Soriano,Romis Attux,Antonio M. Batista,Elbert E. N. Macau,Luiz Henrique Alves Monteiro,Luiz Henrique Alves Monteiro,João Marcos Travassos Romano,Ricardo Suyama,Takashi Yoneyama +11 more
TL;DR: This paper succinctly describes techniques to counter the effects of finite bandwidth, additive noise and delay in the communication channel to make chaos-based communication systems attain lower levels of BER in non-ideal environments.
Reference BookDOI
Chaotic Signals in Digital Communications
TL;DR: This book shows the possible shortcomings of the chaos-based communication systems proposed in the literature, particularly when they are subjected to non-ideal conditions and presents a toolbox of techniques for researchers working to actually implement such systems.
Journal ArticleDOI
A method for Lyapunov spectrum estimation using cloned dynamics and its application to the discontinuously-excited FitzHugh–Nagumo model
Diogo C. Soriano,Filipe Ieda Fazanaro,Ricardo Suyama,José Raimundo de Oliveira,Romis Attux,Marconi Kolm Madrid +5 more
TL;DR: In this paper, the authors proposed a method to calculate the Lyapunov spectrum of dynamical systems based on the time evolution of initially small disturbed copies (clones) of the motion equations.