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Artigo de periodico
Distributed quantization-aware RLS learning with bias compensation and coarsely quantized signals. (2022)
Danaee, Alireza; Lamare, Rodrigo C; Nascimento, Vítor Heloiz
Source: IEEE Transactions on Signal Processing. Unidade: EP
Subjects: PROCESSAMENTO DE SINAIS, INTERNET DAS COISAS, CONTROLE ADAPTATIVO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DANAEE, Alireza e LAMARE, Rodrigo C e NASCIMENTO, Vítor Heloiz. Distributed quantization-aware RLS learning with bias compensation and coarsely quantized signals. IEEE Transactions on Signal Processing, v. 70, p. 3441-3455, 2022Tradução . . Disponível em: https://doi.org/10.1109/TSP.2022.3185898. Acesso em: 23 maio 2024.
APA
Danaee, A., Lamare, R. C., & Nascimento, V. H. (2022). Distributed quantization-aware RLS learning with bias compensation and coarsely quantized signals. IEEE Transactions on Signal Processing, 70, 3441-3455. doi:10.1109/TSP.2022.3185898
NLM
Danaee A, Lamare RC, Nascimento VH. Distributed quantization-aware RLS learning with bias compensation and coarsely quantized signals. [Internet]. IEEE Transactions on Signal Processing. 2022 ; 70 3441-3455.[citado 2024 maio 23 ] Available from: https://doi.org/10.1109/TSP.2022.3185898
Vancouver
Danaee A, Lamare RC, Nascimento VH. Distributed quantization-aware RLS learning with bias compensation and coarsely quantized signals. [Internet]. IEEE Transactions on Signal Processing. 2022 ; 70 3441-3455.[citado 2024 maio 23 ] Available from: https://doi.org/10.1109/TSP.2022.3185898
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
Source: IEEE Signal Processing Letters. Unidade: EP
Subjects: 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: 23 maio 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 maio 23 ] 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 maio 23 ] Available from: https://doi.org/10.1109/LSP.2022.3212637
Artigo de periodico
Energy-efficient distributed learning with coarsely quantized signals (2021)
Danaee, Alireza; Lamare, Rodrigo C; Nascimento, Vítor Heloiz
Source: IEEE Signal Processing Letters. Unidade: EP
Subjects: APRENDIZAGEM, PROCESSAMENTO DE SINAIS, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DANAEE, Alireza e LAMARE, Rodrigo C e NASCIMENTO, Vítor Heloiz. Energy-efficient distributed learning with coarsely quantized signals. IEEE Signal Processing Letters, v. 28, p. 329-333, 2021Tradução . . Disponível em: https://doi.org/10.1109/LSP.2021.3051522. Acesso em: 23 maio 2024.
APA
Danaee, A., Lamare, R. C., & Nascimento, V. H. (2021). Energy-efficient distributed learning with coarsely quantized signals. IEEE Signal Processing Letters, 28, 329-333. doi:10.1109/LSP.2021.3051522
NLM
Danaee A, Lamare RC, Nascimento VH. Energy-efficient distributed learning with coarsely quantized signals [Internet]. IEEE Signal Processing Letters. 2021 ; 28 329-333.[citado 2024 maio 23 ] Available from: https://doi.org/10.1109/LSP.2021.3051522
Vancouver
Danaee A, Lamare RC, Nascimento VH. Energy-efficient distributed learning with coarsely quantized signals [Internet]. IEEE Signal Processing Letters. 2021 ; 28 329-333.[citado 2024 maio 23 ] Available from: https://doi.org/10.1109/LSP.2021.3051522
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
Source: IEEE Access. Unidade: EP
Subjects: 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: 23 maio 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 maio 23 ] 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 maio 23 ] 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
Source: IEEE Signal Processing Letters. Unidade: EP
Subjects: 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: 23 maio 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 maio 23 ] 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 maio 23 ] Available from: https://doi.org/10.1109/LSP.2020.2994527
Artigo de periodico
Adaptive reweighting homotopy algorithms applied to beamforming (2015)
Almeida Neto, Fernando Gonçalves de; Lamare, Rodrigo C; Nascimento, Vítor Heloiz ; Zakharov, Yuriy V
Source: IEEE Transactions on Aerospace and Electronic Systems. Unidade: EP
Subjects: PROCESSAMENTO DE SINAIS, COMPLEXIDADE, MÉTODOS ITERATIVOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA NETO, Fernando Gonçalves de et al. Adaptive reweighting homotopy algorithms applied to beamforming. IEEE Transactions on Aerospace and Electronic Systems, v. 51, n. 3, p. 1902-1915, 2015Tradução . . Disponível em: https://doi.org/10.1109/taes.2015.140401. Acesso em: 23 maio 2024.
APA
Almeida Neto, F. G. de, Lamare, R. C., Nascimento, V. H., & Zakharov, Y. V. (2015). Adaptive reweighting homotopy algorithms applied to beamforming. IEEE Transactions on Aerospace and Electronic Systems, 51( 3), 1902-1915. doi:10.1109/taes.2015.140401
NLM
Almeida Neto FG de, Lamare RC, Nascimento VH, Zakharov YV. Adaptive reweighting homotopy algorithms applied to beamforming [Internet]. IEEE Transactions on Aerospace and Electronic Systems. 2015 ; 51( 3): 1902-1915.[citado 2024 maio 23 ] Available from: https://doi.org/10.1109/taes.2015.140401
Vancouver
Almeida Neto FG de, Lamare RC, Nascimento VH, Zakharov YV. Adaptive reweighting homotopy algorithms applied to beamforming [Internet]. IEEE Transactions on Aerospace and Electronic Systems. 2015 ; 51( 3): 1902-1915.[citado 2024 maio 23 ] Available from: https://doi.org/10.1109/taes.2015.140401

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