Zobrazeno 1 - 10
of 180
pro vyhledávání: '"João Marcos Travassos Romano"'
Autor:
Romis Ribeiro de Faissol Attux, Murilo Bellezoni Loiola, Ricardo Suyama, Leandro Nunes de Castro, Fernando José Von Zuben, João Marcos Travassos Romano
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2003, Iss 8, Pp 740-747 (2003)
This work proposes a framework to determine the optimal Wiener equalizer by using an artificial immune network model together with the constant modulus (CM) cost function. This study was primarily motivated by recent theoretical results concerning th
Externí odkaz:
https://doaj.org/article/3d8053eed77c484aa3e72e7e472f6415
Autor:
João Marcos Travassos Romano, Fernando José Von Zuben, Charles Casimiro Cavalcante, Romis Ribeiro de Faissol Attux, Leandro Elias Paiva Rangel, Rafael Ferrari, Leonardo Tomazeli Duarte, Ricardo Suyama
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
We propose a method for source separation of convolutive mixture based on nonlinear prediction-error filters. This approach converts the original problem into an instantaneous mixture problem, which can be solved by any of the several existing method
Externí odkaz:
https://doaj.org/article/500bf3f1837646e9be195814999a1822
Autor:
Adelmo Tadeu Moncayo, Cynthia Cristina Martins Junqueira, Adilson Walter Chinatto Junior, João Marcos Travassos Romano
Publikováno v:
Brazilian Journal of Development. 7:55080-55086
Publikováno v:
Journal of Communication and Information Systems. 36:90-99
This work deals with adaptive predictive deconvolution of non-stationary channels. In particular, we investigate the use of a cascade of linear predictors in the recovering of sparse and antisparse original signals. To do so, we first discuss the beh
Publikováno v:
Computers & Industrial Engineering. 175:108915
Autor:
Claudia Maria Bauzer Medeiros, André Carlos Ponce de Leon Ferreira de Carvalho, Helder Takashi Imoto Nakaya, João Marcos Travassos Romano, Marcelo Knörich Zuffo, Virgílio Augusto Fernandes Almeida
Publikováno v:
FAPESP 60 anos-A ciência no desenvolvimento nacional ISBN: 9786586819274
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::407f02522504ae57c258a2ee37c139f5
https://doi.org/10.4322/978-65-86819-27-4.1000005
https://doi.org/10.4322/978-65-86819-27-4.1000005
Publikováno v:
Engineering Applications of Artificial Intelligence. 116:105462
Autor:
Elmano Ramalheira, Isabel Lourenço, Sandra Schäfer, José Diogo, João Carlos Marques, C. Queiroz, Eliana Costa, José Melo-Cristino, Odete Chantre, Laura Paixão, Rafael Cantón, Tânia F.C.V. Silva, Luísa Tancredo, Margarida Pinto, Manuela Ribeiro, Teresa Pina, Serviço Patologia Clínica, María García del Castillo, Rui Ferreira, Marta Hernández-García, Helena Peres, Valquíria Alves, Carolina Moura, Elsa M. Gonçalves, Cristina Marcelo, João Marcos Travassos Romano, Luísa Sancho, Cristina Toscano, Catarina Chaves, Helena Ramos, Serviço de Microbiologia, Sonia Maria Soares Ferreira, Altair Nabiev, Raquel Diaz, María García-Castillo, Laboratório de Microbiologia, Ana Maria Rodrigues, Serviço de Patologia Clínica, Ana Raquel Vieira, Sergio García-Fernández, Daniela Gomes da Silva, Isabel Peres, Leonor Pássaro
Publikováno v:
FEMS Microbiology Letters. 368
Purpose: to characterize the distribution and mechanisms involved in ceftolozane/tazobactam (C/T) resistance in Pseudomonas aeruginosa isolates recovered from intensive care units (ICUs) in Portugal as part of the STEP surveillance study. Materials a
Autor:
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano
Publikováno v:
Computers & Industrial Engineering. 169:108171
This letter introduces the concept of antisparse Blind Source Separation (BSS), proposing a suitable criterion based on the $\ell_\infty$ norm to explore the antisparsity feature. The effectiveness of the criterion is theoretically demonstrated and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::267f36a3a765e8dc66548b68043b16e8
https://doi.org/10.36227/techrxiv.14787684.v1
https://doi.org/10.36227/techrxiv.14787684.v1