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Artigo de periodico
Jammer tracking based on efficient covariance matrix reconstruction with iterative spatial spectrum sampling (2023)
Mohammadzadeh, Saeed; Nascimento, Vítor Heloiz ; Lamare, Rodrigo C de; Kukrer, Osman
Fonte: IEEE Transactions on Aerospace and Electronic Systems. Unidade: EP
Assuntos: ALGORITMOS, MATRIZES, SENSOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOHAMMADZADEH, Saeed et al. Jammer tracking based on efficient covariance matrix reconstruction with iterative spatial spectrum sampling. IEEE Transactions on Aerospace and Electronic Systems, v. 59, n. 6, p. 8681-8695, 2023Tradução . . Disponível em: https://doi.org/10.1109/TAES.2023.3307507. Acesso em: 01 nov. 2024.
APA
Mohammadzadeh, S., Nascimento, V. H., Lamare, R. C. de, & Kukrer, O. (2023). Jammer tracking based on efficient covariance matrix reconstruction with iterative spatial spectrum sampling. IEEE Transactions on Aerospace and Electronic Systems, 59( 6), 8681-8695. doi:10.1109/TAES.2023.3307507
NLM
Mohammadzadeh S, Nascimento VH, Lamare RC de, Kukrer O. Jammer tracking based on efficient covariance matrix reconstruction with iterative spatial spectrum sampling [Internet]. IEEE Transactions on Aerospace and Electronic Systems. 2023 ; 59( 6): 8681-8695.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/TAES.2023.3307507
Vancouver
Mohammadzadeh S, Nascimento VH, Lamare RC de, Kukrer O. Jammer tracking based on efficient covariance matrix reconstruction with iterative spatial spectrum sampling [Internet]. IEEE Transactions on Aerospace and Electronic Systems. 2023 ; 59( 6): 8681-8695.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/TAES.2023.3307507
Trabalho de evento
Robust adaptive beamforming bases on power method processing and spatial spectrum matching (2022)
Mohammadzadeh, Saeed; Nascimento, Vítor Heloiz ; Lamare, Rodrigo C; Kukrer, Osman
Fonte: ICASSP. Nome do evento: IEEE International Conference on Acoustics, Speech and Signal Processing. Unidade: EP
Assuntos: FEIXES, REDES NEURAIS, MATRIZES, PROCESSAMENTO DE SINAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOHAMMADZADEH, Saeed et al. Robust adaptive beamforming bases on power method processing and spatial spectrum matching. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: http://www.doi.org/10.1109/ICASSP43922.2022.9747915. Acesso em: 01 nov. 2024.
APA
Mohammadzadeh, S., Nascimento, V. H., Lamare, R. C., & Kukrer, O. (2022). Robust adaptive beamforming bases on power method processing and spatial spectrum matching. In ICASSP. Piscataway: IEEE. doi:10.1109/ICASSP43922.2022.9747915
NLM
Mohammadzadeh S, Nascimento VH, Lamare RC, Kukrer O. Robust adaptive beamforming bases on power method processing and spatial spectrum matching [Internet]. ICASSP. 2022 ;[citado 2024 nov. 01 ] Available from: http://www.doi.org/10.1109/ICASSP43922.2022.9747915
Vancouver
Mohammadzadeh S, Nascimento VH, Lamare RC, Kukrer O. Robust adaptive beamforming bases on power method processing and spatial spectrum matching [Internet]. ICASSP. 2022 ;[citado 2024 nov. 01 ] Available from: http://www.doi.org/10.1109/ICASSP43922.2022.9747915
Artigo de periodico
Robust beamforming based on complex-valued convolutional neural networks for sensor arrays (2022)
Mohammadzadeh, Saeed; Nascimento, Vítor Heloiz ; Lamare, Rodrigo C; Hajarolasvadi, Noushin
Fonte: IEEE Signal Processing Letters. Unidade: EP
Assuntos: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, PROCESSAMENTO DE SINAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOHAMMADZADEH, Saeed et al. Robust beamforming based on complex-valued convolutional neural networks for sensor arrays. IEEE Signal Processing Letters, v. 29, p. 2108-2112, 2022Tradução . . Disponível em: https://doi.org/10.1109/LSP.2022.3212637. Acesso em: 01 nov. 2024.
APA
Mohammadzadeh, S., Nascimento, V. H., Lamare, R. C., & Hajarolasvadi, N. (2022). Robust beamforming based on complex-valued convolutional neural networks for sensor arrays. IEEE Signal Processing Letters, 29, 2108-2112. doi:10.1109/LSP.2022.3212637
NLM
Mohammadzadeh S, Nascimento VH, Lamare RC, Hajarolasvadi N. Robust beamforming based on complex-valued convolutional neural networks for sensor arrays [Internet]. IEEE Signal Processing Letters. 2022 ;29 2108-2112.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/LSP.2022.3212637
Vancouver
Mohammadzadeh S, Nascimento VH, Lamare RC, Hajarolasvadi N. Robust beamforming based on complex-valued convolutional neural networks for sensor arrays [Internet]. IEEE Signal Processing Letters. 2022 ;29 2108-2112.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/LSP.2022.3212637
Artigo de periodico
Robust adaptive beamforming based on low-complexity discrete Fourier transform spatial sampling (2021)
Mohammadzadeh, Saeed; Lamare, Rodrigo C; Kukrer, Osman, Turkey; Nascimento, Vítor Heloiz
Fonte: IEEE Access. Unidade: EP
Assuntos: PROCESSAMENTO DE SINAIS, TRANSFORMADA DE FOURIER
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOHAMMADZADEH, Saeed et al. Robust adaptive beamforming based on low-complexity discrete Fourier transform spatial sampling. IEEE Access, v. 9, p. 84845-84856, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3088747. Acesso em: 01 nov. 2024.
APA
Mohammadzadeh, S., Lamare, R. C., Kukrer, O., & Nascimento, V. H. (2021). Robust adaptive beamforming based on low-complexity discrete Fourier transform spatial sampling. IEEE Access, 9, 84845-84856. doi:10.1109/ACCESS.2021.3088747
NLM
Mohammadzadeh S, Lamare RC, Kukrer O, Nascimento VH. Robust adaptive beamforming based on low-complexity discrete Fourier transform spatial sampling [Internet]. IEEE Access. 2021 ; 9 84845-84856.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ACCESS.2021.3088747
Vancouver
Mohammadzadeh S, Lamare RC, Kukrer O, Nascimento VH. Robust adaptive beamforming based on low-complexity discrete Fourier transform spatial sampling [Internet]. IEEE Access. 2021 ; 9 84845-84856.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ACCESS.2021.3088747
Artigo de periodico
Maximum entropy-based interference-plus-noise covariance matrix reconstruction for robust adaptive beamforming (2020)
Mohammadzadeh, Saeed; Nascimento, Vítor Heloiz ; Lamare, Rodrigo C; Kukrer, Osman
Fonte: IEEE Signal Processing Letters. Unidade: EP
Assuntos: PROCESSAMENTO DE SINAIS, RECONSTRUÇÃO DE SINAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOHAMMADZADEH, Saeed et al. Maximum entropy-based interference-plus-noise covariance matrix reconstruction for robust adaptive beamforming. IEEE Signal Processing Letters, v. 27, p. 845-849, 2020Tradução . . Disponível em: https://doi.org/10.1109/LSP.2020.2994527. Acesso em: 01 nov. 2024.
APA
Mohammadzadeh, S., Nascimento, V. H., Lamare, R. C., & Kukrer, O. (2020). Maximum entropy-based interference-plus-noise covariance matrix reconstruction for robust adaptive beamforming. IEEE Signal Processing Letters, 27, 845-849. doi:10.1109/LSP.2020.2994527
NLM
Mohammadzadeh S, Nascimento VH, Lamare RC, Kukrer O. Maximum entropy-based interference-plus-noise covariance matrix reconstruction for robust adaptive beamforming [Internet]. IEEE Signal Processing Letters. 2020 ; 27 845-849.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/LSP.2020.2994527
Vancouver
Mohammadzadeh S, Nascimento VH, Lamare RC, Kukrer O. Maximum entropy-based interference-plus-noise covariance matrix reconstruction for robust adaptive beamforming [Internet]. IEEE Signal Processing Letters. 2020 ; 27 845-849.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/LSP.2020.2994527

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