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Artigo de periodico
Integrating wavelet transformation for end-to-end direct signal classification (2025)
Ribeiro-Filho, Otávio V; Ponti, Moacir Antonelli ; Curilem, Millaray ; Rios, Ricardo Araújo
Source: Digital Signal Processing. Unidade: ICMC
Subjects: REDES NEURAIS, PROCESSAMENTO DE SINAIS, ANÁLISE DE ONDALETAS
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ABNT
RIBEIRO-FILHO, Otávio V et al. Integrating wavelet transformation for end-to-end direct signal classification. Digital Signal Processing, v. 156, n. Ja 2025, p. 1-11, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2024.104878. Acesso em: 13 nov. 2025.
APA
Ribeiro-Filho, O. V., Ponti, M. A., Curilem, M., & Rios, R. A. (2025). Integrating wavelet transformation for end-to-end direct signal classification. Digital Signal Processing, 156( Ja 2025), 1-11. doi:10.1016/j.dsp.2024.104878
NLM
Ribeiro-Filho OV, Ponti MA, Curilem M, Rios RA. Integrating wavelet transformation for end-to-end direct signal classification [Internet]. Digital Signal Processing. 2025 ; 156( Ja 2025): 1-11.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2024.104878
Vancouver
Ribeiro-Filho OV, Ponti MA, Curilem M, Rios RA. Integrating wavelet transformation for end-to-end direct signal classification [Internet]. Digital Signal Processing. 2025 ; 156( Ja 2025): 1-11.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2024.104878
Artigo de periodico
Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition (2021)
Guido, Rodrigo Capobianco ; Pedroso, Fernando; Contreras, Rodrigo Colnago ; Rodrigues, Luciene Cavalcanti; Guariglia, Emanuel ; Suda Neto, Jogi
Source: Digital Signal Processing. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE SINAIS, PROCESSAMENTO DE SINAIS BIOMÉDICOS, PROCESSAMENTO DE LINGUAGEM NATURAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUIDO, Rodrigo Capobianco et al. Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition. Digital Signal Processing, v. 117, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2021.103158. Acesso em: 13 nov. 2025.
APA
Guido, R. C., Pedroso, F., Contreras, R. C., Rodrigues, L. C., Guariglia, E., & Suda Neto, J. (2021). Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition. Digital Signal Processing, 117, 1-14. doi:10.1016/j.dsp.2021.103158
NLM
Guido RC, Pedroso F, Contreras RC, Rodrigues LC, Guariglia E, Suda Neto J. Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition [Internet]. Digital Signal Processing. 2021 ; 117 1-14.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2021.103158
Vancouver
Guido RC, Pedroso F, Contreras RC, Rodrigues LC, Guariglia E, Suda Neto J. Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition [Internet]. Digital Signal Processing. 2021 ; 117 1-14.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2021.103158
Artigo de periodico
Decomposing time series into deterministic and stochastic influences: a survey (2019)
Duarte, Felipe Simões Lage Gomes; Rios, Ricardo A; Hruschka, Eduardo Raul ; Mello, Rodrigo Fernandes de
Source: Digital Signal Processing. Unidades: EP, ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, MÉTODOS DE DECOMPOSIÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DUARTE, Felipe Simões Lage Gomes et al. Decomposing time series into deterministic and stochastic influences: a survey. Digital Signal Processing, v. 95, p. 1-18, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2019.102582. Acesso em: 13 nov. 2025.
APA
Duarte, F. S. L. G., Rios, R. A., Hruschka, E. R., & Mello, R. F. de. (2019). Decomposing time series into deterministic and stochastic influences: a survey. Digital Signal Processing, 95, 1-18. doi:10.1016/j.dsp.2019.102582
NLM
Duarte FSLG, Rios RA, Hruschka ER, Mello RF de. Decomposing time series into deterministic and stochastic influences: a survey [Internet]. Digital Signal Processing. 2019 ; 95 1-18.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2019.102582
Vancouver
Duarte FSLG, Rios RA, Hruschka ER, Mello RF de. Decomposing time series into deterministic and stochastic influences: a survey [Internet]. Digital Signal Processing. 2019 ; 95 1-18.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2019.102582
Artigo de periodico
Dynamic texture analysis with diffusion in networks (2019)
Ribas, Lucas Correia ; Gonçalves, Wesley Nunes ; Bruno, Odemir Martinez
Source: Digital Signal Processing. Unidades: IFSC, ICMC
Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia e GONÇALVES, Wesley Nunes e BRUNO, Odemir Martinez. Dynamic texture analysis with diffusion in networks. Digital Signal Processing, v. 92, p. Se 2019, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2019.03.017. Acesso em: 13 nov. 2025.
APA
Ribas, L. C., Gonçalves, W. N., & Bruno, O. M. (2019). Dynamic texture analysis with diffusion in networks. Digital Signal Processing, 92, Se 2019. doi:10.1016/j.dsp.2019.03.017
NLM
Ribas LC, Gonçalves WN, Bruno OM. Dynamic texture analysis with diffusion in networks [Internet]. Digital Signal Processing. 2019 ; 92 Se 2019.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2019.03.017
Vancouver
Ribas LC, Gonçalves WN, Bruno OM. Dynamic texture analysis with diffusion in networks [Internet]. Digital Signal Processing. 2019 ; 92 Se 2019.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2019.03.017
Artigo de periodico
Cooperative parallel particle filters for online model selection and applications to urban mobility (2017)
Martino, L.; Read, Jesse; Elvira, V.; Louzada, Francisco
Source: Digital Signal Processing. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, MOBILIDADE URBANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINO, L. et al. Cooperative parallel particle filters for online model selection and applications to urban mobility. Digital Signal Processing, v. 60, n. Ja 2017, p. 172-185, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2016.09.011. Acesso em: 13 nov. 2025.
APA
Martino, L., Read, J., Elvira, V., & Louzada, F. (2017). Cooperative parallel particle filters for online model selection and applications to urban mobility. Digital Signal Processing, 60( Ja 2017), 172-185. doi:10.1016/j.dsp.2016.09.011
NLM
Martino L, Read J, Elvira V, Louzada F. Cooperative parallel particle filters for online model selection and applications to urban mobility [Internet]. Digital Signal Processing. 2017 ; 60( Ja 2017): 172-185.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2016.09.011
Vancouver
Martino L, Read J, Elvira V, Louzada F. Cooperative parallel particle filters for online model selection and applications to urban mobility [Internet]. Digital Signal Processing. 2017 ; 60( Ja 2017): 172-185.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2016.09.011
Artigo de periodico
Orthogonal parallel MCMC methods for sampling and optimization (2016)
Martino, L.; Elvira, V.; Luengo, D.; Corander, J; Louzada, Francisco
Source: Digital Signal Processing. Unidade: ICMC
Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINO, L. et al. Orthogonal parallel MCMC methods for sampling and optimization. Digital Signal Processing, v. No 2016, p. 64-84, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2016.07.013. Acesso em: 13 nov. 2025.
APA
Martino, L., Elvira, V., Luengo, D., Corander, J., & Louzada, F. (2016). Orthogonal parallel MCMC methods for sampling and optimization. Digital Signal Processing, No 2016, 64-84. doi:10.1016/j.dsp.2016.07.013
NLM
Martino L, Elvira V, Luengo D, Corander J, Louzada F. Orthogonal parallel MCMC methods for sampling and optimization [Internet]. Digital Signal Processing. 2016 ; No 2016 64-84.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2016.07.013
Vancouver
Martino L, Elvira V, Luengo D, Corander J, Louzada F. Orthogonal parallel MCMC methods for sampling and optimization [Internet]. Digital Signal Processing. 2016 ; No 2016 64-84.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2016.07.013
Artigo de periodico
Expanding the horizontal capabilities of CRT monitors using artificial inter-pixel steps for neuroscience experiments (2012)
Gazziro, Mario; Fernandes, Nelson; Almeida, Lirio Onofre Baptista de; Matias, Paulo; Slaets, Jan Frans Willem
Source: Digital Signal Processing. Unidades: ICMC, IFSC
Subjects: PROCESSAMENTO DIGITAL DE SINAIS, NEUROCIÊNCIAS, VISÃO, MOSCAS (EXPERIMENTOS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAZZIRO, Mario et al. Expanding the horizontal capabilities of CRT monitors using artificial inter-pixel steps for neuroscience experiments. Digital Signal Processing, v. 22, n. 2, p. 367-375, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2011.01.009. Acesso em: 13 nov. 2025.
APA
Gazziro, M., Fernandes, N., Almeida, L. O. B. de, Matias, P., & Slaets, J. F. W. (2012). Expanding the horizontal capabilities of CRT monitors using artificial inter-pixel steps for neuroscience experiments. Digital Signal Processing, 22( 2), 367-375. doi:10.1016/j.dsp.2011.01.009
NLM
Gazziro M, Fernandes N, Almeida LOB de, Matias P, Slaets JFW. Expanding the horizontal capabilities of CRT monitors using artificial inter-pixel steps for neuroscience experiments [Internet]. Digital Signal Processing. 2012 ; 22( 2): 367-375.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2011.01.009
Vancouver
Gazziro M, Fernandes N, Almeida LOB de, Matias P, Slaets JFW. Expanding the horizontal capabilities of CRT monitors using artificial inter-pixel steps for neuroscience experiments [Internet]. Digital Signal Processing. 2012 ; 22( 2): 367-375.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.dsp.2011.01.009

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