Filtros : "Digital Signal Processing" "Indexado no Science Citation Index" Limpar

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  • Source: Digital Signal Processing. Unidades: EP, ICMC

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, MÉTODOS DE DECOMPOSIÇÃO

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    • 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: 16 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. 16 ] 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. 16 ] Available from: https://doi.org/10.1016/j.dsp.2019.102582
  • Source: Digital Signal Processing. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, MOBILIDADE URBANA

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    • 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: 16 nov. 2025.
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      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. 16 ] 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. 16 ] Available from: https://doi.org/10.1016/j.dsp.2016.09.011
  • Source: Digital Signal Processing. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

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      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: 16 nov. 2025.
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      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. 16 ] 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. 16 ] Available from: https://doi.org/10.1016/j.dsp.2016.07.013
  • Source: Digital Signal Processing. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, PROCESSAMENTO DE IMAGENS

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      FLORINDO, João Batista e LANDINI, Gabriel e BRUNO, Odemir Martinez. Texture descriptors by a fractal analysis of three-dimensional local coarseness. Digital Signal Processing, v. 42, p. 70-79, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2015.03.013. Acesso em: 16 nov. 2025.
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      Florindo, J. B., Landini, G., & Bruno, O. M. (2015). Texture descriptors by a fractal analysis of three-dimensional local coarseness. Digital Signal Processing, 42, 70-79. doi:10.1016/j.dsp.2015.03.013
    • NLM

      Florindo JB, Landini G, Bruno OM. Texture descriptors by a fractal analysis of three-dimensional local coarseness [Internet]. Digital Signal Processing. 2015 ; 42 70-79.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.dsp.2015.03.013
    • Vancouver

      Florindo JB, Landini G, Bruno OM. Texture descriptors by a fractal analysis of three-dimensional local coarseness [Internet]. Digital Signal Processing. 2015 ; 42 70-79.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.dsp.2015.03.013
  • Source: Digital Signal Processing. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, TEXTURA (ANÁLISE), ENTROPIA

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      FLORINDO, João Batista e ASSITARI, Lucas e BRUNO, Odemir Martinez. Enhancing texture descriptors by a neighborhood approach to the non-additive entropy. Digital Signal Processing, v. 44, p. 14-25, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2015.05.004. Acesso em: 16 nov. 2025.
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      Florindo, J. B., Assitari, L., & Bruno, O. M. (2015). Enhancing texture descriptors by a neighborhood approach to the non-additive entropy. Digital Signal Processing, 44, 14-25. doi:10.1016/j.dsp.2015.05.004
    • NLM

      Florindo JB, Assitari L, Bruno OM. Enhancing texture descriptors by a neighborhood approach to the non-additive entropy [Internet]. Digital Signal Processing. 2015 ; 44 14-25.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.dsp.2015.05.004
    • Vancouver

      Florindo JB, Assitari L, Bruno OM. Enhancing texture descriptors by a neighborhood approach to the non-additive entropy [Internet]. Digital Signal Processing. 2015 ; 44 14-25.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.dsp.2015.05.004
  • Source: Digital Signal Processing. Unidades: ICMC, IFSC

    Subjects: PROCESSAMENTO DIGITAL DE SINAIS, NEUROCIÊNCIAS, VISÃO, MOSCAS (EXPERIMENTOS)

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      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: 16 nov. 2025.
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      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. 16 ] 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. 16 ] Available from: https://doi.org/10.1016/j.dsp.2011.01.009
  • Source: Digital Signal Processing. Unidades: IFSC, EESC

    Subjects: PROCESSAMENTO DE IMAGENS, TEMPO-REAL, NEURÔNIOS, VISÃO (SISTEMAS), MOSCAS

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      GUIDO, Rodrigo Capobianco et al. A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition. Digital Signal Processing, v. 16, n. Ja 2006, p. 24-44, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2005.04.002. Acesso em: 16 nov. 2025.
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      Guido, R. C., Slaets, J. F. W., Koberle, R., Almeida, L. O. B. de, & Pereira, J. C. (2006). A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition. Digital Signal Processing, 16( Ja 2006), 24-44. doi:10.1016/j.dsp.2005.04.002
    • NLM

      Guido RC, Slaets JFW, Koberle R, Almeida LOB de, Pereira JC. A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition [Internet]. Digital Signal Processing. 2006 ; 16( Ja 2006): 24-44.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.dsp.2005.04.002
    • Vancouver

      Guido RC, Slaets JFW, Koberle R, Almeida LOB de, Pereira JC. A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition [Internet]. Digital Signal Processing. 2006 ; 16( Ja 2006): 24-44.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.dsp.2005.04.002

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