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[110] A. L. Magalhães, A. L. F. de Almeida, “Semi-Blind Receivers for Hybrid Reflecting and Sensing RIS,” submitted, 2024.
[109] Y. S. Ribeiro, B. Makki, A. L. F. de Almeida, F. Asim, G. Fodor, “Mobility Management in Integrated Sensing and Communications Networks,” submitted, 2024.
[108] S. Ahmadi, N. Rezaeian, C. F. Caiafa, A. L. F. de Almeida, “Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications to Image Compression, Super-Resolution, and Deep Learning,” submitted, 2024.
[107] A. L. F. de Almeida, B. Sokal, H. Li, B., Clerckx, “Channel Estimation for Beyond Diagonal RIS via Tensor Decomposition,” submitted, 2024.
[106] S. Ahmadi, A. L. F. de Almeida, Y. Liu, “Randomized Algorithms for Kroncecker Tensor Decomposition and Applications,” submitted, 2024.
[105] Y. Znyed, A. L. F. de Almeida, “A Stochastic Algorithm for the Paratuck-2 decomposition”, submitted, 2024.
[104] M. Dehghan, J. Henrique de M. Goulart, A. L. F. de Almeida, “Low-Rank Multilinear Filtering,” Digital Signal Processing, 2024.
[103] F. E. Asim, B. Sokal, A. L. F. de Almeida, B. Makki, G. Fodor, “Two-Dimensional Channel Parameter Estimation for IRS-Assisted Networks,” submitted, 2024.
[102] F. E. Asim, A. L. F. de Almeida, B. Sokal, B. Makki, G. Fodor, “Structured Channel Estimation for RIS-assisted THz Communications,” submitted, 2024.
[101] Y. S. Ribeiro, A. L. F. de Almeida, F. E-. Asim, B. Makki, G. Fodor, “Low-Complexity Joint Active and Passive Beamforming Design for IRS-Assisted MIMO,” IEEE Wireless Communications Letters, vol. 13, no. 3, pp. 607-611, 2024.
[100] K. B. Benício, A. L. F. de Almeida, B. Sokal, F. E-. Asim, B. Makki, G. Fodor, “Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems” IEEE Wireless Communications Letters, vol. 13, no. 2, pp. 333-337, 2024.
[99] B. Sokal, P. R. B. Gomes, A. L. F. de Almeida, B. Makki, G. Fodor, “Reducing the Control Overhead of Intelligent Reconfigurable Surfaces Via a Tensor-Based Low-Rank Factorization Approach,” IEEE Transactions on Wireless Communications, vol. 22, no. 10, pp. 6578-6593, Oct. 2023.
[98] M. Giraud, V. Itier, R. Boyer, Y. Znyed, A. L. F. de Almeida, “Tucker Decomposition Based on a Tensor Train of Coupled and Constrained CP Cores,” IEEE Signal Processing Letters, vol. 30, pp. 758-762, 2023.
[97] G. T. Araújo, A. L. F. de Almeida, R. Boyer, “Semi-Blind Joint Channel and Symbol Estimation for Intelligent Surface Assisted MIMO Systems,” in IEEE Transactions on Signal Processing, vol. 71, pp. 1184-1199, 2023.
[96] H. Zheng, C. Zhou, Z. Shi, A. L. F. de Almeida, Y. Gu, “Coarray Tensor Completion for DOA Estimation,” in IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 5, pp. 5472-5486, Oct. 2023.
[95] M. F. K. B. Couras, P. H. U. de Pinho, G. Favier, V. Zarzoso, A. L. F. de Almeida, J. P. J. da Costa, “Semi-Blind Receivers Based on a Coupled Nested Tucker-PARAFAC Model for Dual-Polarized MIMO Systems using Combined TST and MSMKron Codings”, Digital Signal Processing, vol. 137, no. 15, June 2023.
[94] P. R. B. Gomes, G. T. Araújo, A. L. F. de Almeida, B. Makki, G. Fodor, “Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections,” IEEE Transactions on Vehicular Technology, vol. 72, no. 11, pp. 14200-14213, 2023.
[93] Fazal-E-Asim, F. Antreich, C. C. Cavalcante, A. L. F. de Almeida, J. A. Nossek, “Efficient Hybrid A/D Beamforming for Millimeter-Wave Systems Using Butler Matrices”, in IEEE Transactions on Wireless Communications, vol. 22, no. 2, pp. 1001-1013, 2023.
[92] P. H. U. de Pinho, M. F. K. B. Couras, G. Favier, A. L. F. de Almeida, J. P. J. da Costa, “Semi-Blind Receivers for Two-Hop MIMO Relay Systems with a Combined TSTF-MSMKron Coding,” Sensors, vol. 23, no. 13, 2023.
[91] L. Khamidullina, A. L. F. de Almeida, M. Haardt, “Multilinear Generalized Singular Value Decomposition (ML-GSVD) and its Application to Multiuser MIMO Systems. IEEE Transactions on Signal Processing, vol. 70, pp. 2783-2797, 2022.
[90] H. Zheng, C. Zhou, Z. Shi, A. L. F. de Almeida, “SubTTD: DOA Estimation via Sub-Nyquist Tensor Train Decomposition,” IEEE Signal Processing Letters, vol. 29, pp. 1978-1982, 2022.
[89] G. T. Araújo, A. L. F. de Almeida, B. Makki, G. Fodor, “Semi-Blind Joint Channel and Symbol Estimation in IRS-Assisted Multiuser MIMO Networks, IEEE Wireless Communications Letters, vol. 11, pp. 1553-1557, 2022.
[88] R. P. Antonioli, I. M. Braga Jr., G. Fodor, Y. C. B. Silva, A. L. F. de Almeida, W. C. Freitas Jr, “On the Energy Efficiency of Cell-Free Systems with Limited Fronthauls: Is Coherent Transmission Always the Best Alternative?,” in IEEE Transactions on Wireless Communications, vol. 21, no. 10, pp. 8729-8743, Oct. 2022.
[87] C. Enneking, F. Antreich, A. L. F. de Almeida, “Randomized Spectral Separation Coefficient for Short Code Acquisition Performance Evaluation,” IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 3, pp. 1593-1608, June 2022.
[86] Fazal-E-Asim, A. L. F. de Almeida, F. Antreich, M. Haardt, C. C. Cavalcante, “Kronecker Product Based Space-Time Block Codes,” IEEE Wireless Communications Letters, vol. 11, no. 2, pp. 386-390, 2022.
[85] K. Naskovska, B. Sokal, A. L. F. de Almeida, M. Haardt, “Using Tensor Contractions to Derive the Structure of Slice-Wise Multiplications of Tensors with Applications to Semi-Blind MIMO OFDM systems,” EURASIP Journal on Adv. in Signal Processing, vol. 2022, no. 109, 2022, pp. 1-26.
[84] K. Ardah, S. Gherekhloo, A. L. F. de Almeida, M. Haardt, “TRICE: An Efficient Channel Estimation Framework for RIS-Aided MIMO Communications,” IEEE Signal Processing Letters, vol. 28, pp. 513-517, 2021.
[83] F. H. Costa Neto, D. C. Araújo, M. P. Mota, T. F. Maciel, A. L. F. de Almeida, “Uplink Power Control Framework Based on Reinforcement Learning for 5G Networks,” in IEEE Transactions on Vehicular Technology, vol. 70, no. 6, pp. 5734-5748, June 2021.
[82] G. T de Araújo, A. L. F. de Almeida, R. Boyer, “Channel Estimation for IRS-assisted MIMO Systems: A Tensor Modeling Approach,” IEEE Journal of Selected Topics in Signal Processing, vol. 15, pp. 789-802, 2021.
[81] B. Sokal, P. R. B. Gomes, A. L. F. de Almeida, M. Haardt, “Tensor-Based Receiver for Joint Channel, Data, and Phase-Noise Estimation in MIMO-OFDM Systems,” IEEE Journal of Selected Topics in Signal Processing, vol. 15, pp. 803-815, 2021.
[80] Asim, F.; Antreich, F.; Cavalcante, C. C.; de Almeida, A. L. F.; Nossek, J. A., “Two-dimensional channel parameter estimation for millimeter-wave systems using Butler matrices,” IEEE Transactions on Wireless Communications, vol. 20, no. 4, pp. 2670-2684, 2021.
[79] Han Xi, A. L. F. de Almeida, W. C. Freitas Jr., Yingchun Zhou, “A Semiblind Uni-ALS Receiver for a Two-Way MIMO Relaying System Based on the PARATUCK2 Model”, Digital Signal Processing, vol. 102916, pp. 1, 2021.
[78] S. Miron, Y.Zniyed, R. Boyer, A. L. F. de Almeida, G. Favier, D. Brie, Pierre Comon “Tensor Methods for Multisensor Signal Processing, “IET Signal Processing, vol. 14, pp. 693-709, 2020.
[77] Han Xi, A. L. F. de Almeida, W. C. Freitas Jr., Yingchun Zhou, “Enhanced Tensor-Based Joint Channel and Symbol Estimation in Dual-Hop MIMO Relaying Systems,” IEEE Communications Letters, vol. 1, pp. 1-5, 2020.
[76] F. Asim, A. L. F. de Almeida, M. Haardt, C. C. Cavalcante. J. A. Nossek, “Rank-One Detector for Kronecker-Structured Constant Modulus Constellations,” IEEE Signal Processing Letters, vol. 27, pp. 1420-1424, 2020.
[75] A. M. Pessoa, B. Sokal, C. F. M. Silva, T. F. Maciel, A. L. F. de Almeida, F. R. P. Cavalcanti, “A CDL-based Channel Model with Dual-Polarized Antennas for 5G MIMO Systems in Rural Remote Areas”, IEEE Access, vol. 8, pp. 163366-163379, 2020.
[74] F. E-.Asim, J. A. Nossek, C. C. Cavalcante, F. Antreich, A. L. F de Almeida, “Channel parameter estimation for millimeter-wave MIMO systems with hybrid beamforming,” Signal Processing, vol. 76, pp. 107715, Nov. 2020.
[73] Y. Zniyed, R. Boyer, A. L. F. de Almeida, G. Favier, “Tensor train representation of massive MIMO channels using the joint dimensionality reduction and factor retrieval (JIRAFE) method,” Signal Processing, vol. 171, June 2020.
[72] Y. Zniyed, R. Boyer, A.L.F. de Almeida, G. Favier, “A TT-based hierarchical framework for decomposing high-order tensors,” SIAM Journal on Scientific Computing, vol. 42, no. 2, pp. A822–A848, 2020.
[71] Y. Zniyed, R. Boyer, A.L.F. de Almeida, G. Favier, “High-order tensor factorization via trains of coupled third-order CP and Tucker decompositions,” Linear Algebra and its Applications, vol. 588, no. 1, pp.304-337, March 2020.
[70] C. C. R. Garcez, D. V. de Lima, R. K. Miranda, F. L. L. de Mendonça, J. P. C. L. da Costa, A. L. F. de Almeida, R. T. de Sousa Jr., “Tensor-based subspace tracking for time-delay estimation in GNSS”, Sensors, vol. 19, no. 23, Dec. 2019, pp. 5076.
[69] L. N. Ribeiro, S. Schwarz, A. L. F. de Almeida, “Double-sided massive MIMO transceivers for mmWave communications,” IEEE Access, vol. 7, pp. 157667-157679, 2019.
[68] K. Ardah, G. Fodor, Y. C. B Silva, W. C. Freitas Jr., A. L. F. de Almeida, “Hybrid analog-digital beamforming design for SE and EE maximization in massive MIMO networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 377-389, Jan. 2020.
[67] W. C. Freitas Jr., G. Favier, A. L. F. de Almeida, “Tensor-based joint channel and symbol estimation for two-way MIMO relaying systems,” IEEE Signal Processing Letters, vol. 26, pp. 227-231, 2019.
[66] L. N. Ribeiro, A. L. F. de Almeida, J. C. M. Mota, “Separable linearly constrained minimum variance beamformers,” Signal Processing, vol. 158, pp. 15-25, 2019.
[65] P. R. B. Gomes, J. P. C. L. da Costa, A. L. F. de Almeida, “Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing,” Digital Signal Processing, vol. 89, pp. 1-7, 2019.
[64] L. N. Ribeiro, A. L. F. de Almeida, J. A. Nossek, J. C. M. Mota, “Low-complexity separable beamformers for massive antenna array systems,” IET Signal Processing, vol. 13, pp. 434-442, 2019.
[63] P. R. B. Gomes, A. L. F. de Almeida, J. P. C. L. da Costa, R. T. de Sousa Jr., “A nested-PARAFAC based approach for target localization in bistatic MIMO radar systems,” Digital Signal Processing, vol. 89, pp. 40-48, 2019.
[62] H. Xi, A. L. F. de Almeida, A. Liu, W. Bai, “Semi-blind receiver for two-way MIMO relaying systems based on joint channel and symbol estimation,” IET Communications, vol. 13, pp. 1090-1094, 2019.
[61] D. C. Araújo, A. L. F. de Almeida, J. P. C. L. da Costa, R. T. de Sousa Jr., “Tensor-based channel estimation for massive MIMO-OFDM systems,” IEEE Access, vol. 7, pp. 42133-42147, 2019.
[60] Y. Znyed, R. Boyer, A. L. F. de Almeida, G. Favier, “Multidimensional harmonic retrieval based on Vandermonde tensor train,” Signal Processing, vol. 163, pp. 75-86, 2019.
[59] M. T. Oliveira, R. K. Miranda, J. P. C. L. da Costa, A. L. F. de Almeida, R. T. de Sousa Jr., “Low-cost antenna array based drone tracking device for outdoor environments,” Wireless Communications & Mobile Computing, vol. 2019, pp. 1-14, 2019.
[58] P. R. B. Gomes, A. L. F. de Almeida, J. P. C. L. da Costa, R. T. de Sousa Jr., “Joint DL and UL channel estimation for millimeter wave MIMO systems using tensor modeling,” Wireless Communications & Mobile Computing, vol. 2019, pp. 1-13, 2019. [pdf]
[57] B. Sokal, A. L. F. de Almeida, M. Haardt, “Semi-blind receivers for MIMO multi-relaying systems via rank-one tensor approximations,” Signal Processing, vol. 166, 107254, 2019.
[56] L. N. Ribeiro, S. Schwarz, M. Rupp, A. L. F. de Almeida, “Energy efficiency of mmWave massive MIMO precoding with low-resolution DACs,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, pp. 298-312, 2018.
[55] W. C. Freitas Jr., G. Favier, A. L. F. de Almeida, “Generalized Khatri-Rao and Kronecker space-time coding for MIMO relay systems with closed-form semi-blind receivers,” Signal Processing, vol. 151, pp. 19-31, 2018.
[54] S. T. Valduga, A. L. F. de Almeida, C. F. M. Silva, I. M. Guerreiro, D. C. Araújo, “A framework to channel feedback and reconstruction using matrix completion in massive MIMO systems,” Journal of Communication and Information Systems, vol. 33, pp. 78-91, 2018.
[53] S. T. Valduga, L. Deneire, R. Aparicio-Pardo, A. L. F. de Almeida, T. F. Maciel, J. C. M. Mota, “Low-complexity heuristics to beam selection and rate adaptation in sparse massive MIMO systems”, Transactions on Emerging Telecommunications Technologies, vol. 29, pp. 3459, 2018.
[52] E. D. R. Sena, A. L. F. de Almeida, “Algebra multilinear aplicada ao reconhecimento facial”, Learning and Nonlinear Models, vol. 15, pp. 1-55, 2018.
[51] R. K. Miranda, J. P. C. L. da Costa, B. Guo, A. L. F. de Almeida, G. del Galdo, R. T. de Sousa Jr., “Low-complexity and high-accuracy semi-blind joint channel and symbol estimation for massive MIMO-OFDM,” Circuits, Systems and Signal Processing, vol. 2019, pp. 1114, 2018.
[50] W. C. Freitas Jr., G. Favier, A. L. F. de Almeida, “Sequential closed-form semi-blind receiver for space-time coded multi-hop relaying systems”, IEEE Signal Processing Letters, vol. 24, no. 12, p. 1773-1777, 2017.
[49] S. T. Valduga, A. L. F. de Almeida, R. Machado A. P. Legg, M. Loiola, D. I. Alves, “Codebook design and performance analysis of quantized beamforming under perfect and imperfect channel state information”, Journal of Communication and Information Systems, vol. 32, pp. 161-171, 2017.
[48] G. T. de Araújo, A. L. F. de Almeida, “Closed-form channel estimation for MIMO space-time coded systems using a fourth-order tensor-based receiver”, Circuits, Systems, and Signal Processing, vol. 37, pp. 1343-1357, 2017.
[47] P. R. B. Gomes, A. L. F. de ALMEIDA, J. P. C. L da Costa, G. del Galdo, “Tensor-based methods for blind spatial signature estimation under arbitrary and unknown source covariance structure,” Digital Signal Processing, vol. 62, pp. 197-210, 2017.
[46] R. K. Miranda, J. P. C. L. da Costa, F. Roemer, L. R. A. X. Meneses, G. del Galdo, A. L. F. de Almeida, “Low complexity performance assessment of a sensor array via unscented transformation,” Digital Signal Processing, pp. 190-198, 2017.
[45] P. R. B. Gomes, A. L. F. de Almeida, J. P. C. L. da Costa, J. C. M. Mota, D. V. Lima, G. del Galdo, “Tensor-based methods for blind spatial signature estimation in multidimensional sensor arrays”, International Journal of Antennas and Propagation, vol. 2017, pp. 1-11, 2017.
[44] L. R. Ximenes, G. Favier, A. L. F. de Almeida, “Closed-form semi-blind receiver for MIMO relay systems using double Khatri-Rao space-time coding”, IEEE Signal Processing Letters, vol. 23, pp. 316-320, 2016
[43] C. A. R. Fernandes, G. Favier, A. L. F. de Almeida, “Nested Tucker tensor decomposition with application to MIMO relay systems using tensor space-time coding (TSTC),” Signal Processing, vol. 128, pp. 318-331, 2016
[42] A. P. Silva, P. Comon, A. L. F. de Almeida, “A finite algorithm to compute rank-1 tensor approximations”, IEEE Signal Processing Letters, vol. 23, no. 7, p. 959-963, 2016.
[41] D. C. Araújo, T. Maksymyuk, A. L. F. de Almeida, T. F. Maciel, J. C. M. Mota, M. Jo, “Massive MIMO: survey and future research topics,” IET Communications, vol. 1, pp. 1-26, 2016.
[40] A. P. Silva, P. Comon, A. L. F. de Almeida, “On the reduction of multivariate quadratic systems to best rank-1 approximation of three-way tensors”, Applied Mathematics Letters, vol. 61, pp. 9-15, 2016.
[39] A. O. Nunes, T. E. V. Silva, J. C. M. Mota, A. L. F. de Almeida, W. B. Andriola, “Developing an instrument for the assessment of academic management in engineering courses,” IEEE Latin America Transactions, vol. 13, pp. 263-271, 2015.
[38] H. Xi, A. L. F. de Almeida, “Multiuser receiver for joint symbol/channel estimation in dual-hop relaying systems,” Wireless Personal Communications, vol. 83, pp. 17-33, 2015.
[37] L. R. Ximenes, G. Favier, A. L. F. de Almeida, “Semi-blind receivers for non-regenerative cooperative MIMO communications based on nested PARAFAC modeling,” IEEE Transactions on Signal Processing, vol. 63, pp. 4985-4998, 2015
[36] A. O. Nunes, T. E. V. Silva, J. C. M. Mota, A. L. F. de Almeida, W. B. Andriola, “Validation of the academic management evaluation instrument based on principal component analysis for engineering and technological courses,” Ingenieria e Investigacion, vol. 35, pp. 96-102, 2015.
[35] I. V. Cavalcante, A. L. F. de Almeida, M. Haardt, “Joint channel estimation for three-hop MIMO relaying systems,” IEEE Signal Processing Letters, vol. 22, pp. 2430-2434, 2015.
[34] L.-T. Huang, A. L. F. de Almeida, H. C. So, “Target estimation in bistatic MIMO radar via tensor completion,” Signal Processing, vol. 120, p. 654-659, 2016.
[33] G. Favier, A. L. F. de Almeida, “Overview of constrained PARAFAC models,” EURASIP Journal on Advances in Signal Processing, v. 2014, p. 142, 2014 [pdf]
[32] M. Jo., T. MakSymyuk, R. L. Batista, T. F. Maciel, A. L. F. de Almeida, M. Klymash, “A survey of converging solutions for heterogeneous mobile networks,” IEEE Wireless Communications, vol. 21, p. 54-62, 2014
[31] H. Xi, A. L. F. de Almeida, “Channel estimation for MIMO multi-relay systems using a tensor approach,” EURASIP Journal on Advances in Signal Processing, vol. 2014, p. 163, 2014.
[30] C. A. R. Fernandes, D. B. da Costa, A. L. F. de Almeida, “Performance analysis of cooperative amplify-and-forward orthogonal frequency division multiplexing systems with power amplifier non-linearity,” IET Communications, vol. 8, p. 3223-3233, 2014.
[29] G. Favier, A. L. F. de Almeida, “Tensor space-time-frequency coding with semi-blind receivers for MIMO wireless communication systems,” IEEE Transactions on Signal Processing, vol. 62, no. 22, pp. 5987-6002, 2014.
[28] L. R. Ximenes, G. Favier, A. L. F. de Almeida, Y. C. B. Silva, “PARAFAC-PARATUCK semi-blind receivers for two-hop cooperative MIMO relay systems,” IEEE Transactions on Signal Processing, vol. 62, no. 14, pp. 3604-3615, 2014.
[27] L. R. Ximenes, A. L. F. de Almeida, “Directional estimation of block-fading MIMO channels using spherical harmonics expansion and tensor analysis,” Circuits Systems and Signal Processing, vol. 2014, p. 1-25, 2014.
[26] N. Ferdinand, D. B. da Costa, A. L. F. de Almeida, M. Latva-Aho, “Physical layer secrecy performance of TAS wiretap channels with correlated main and eavesdropper channels,” IEEE Wireless Communications Letters, vol. 3, pp. 86-89, 2014.
[25] W. C. Freitas Jr., A. L. F. de Almeida, J. P. C. L. da Costa, “Blind joint channel estimation and data detection for precoded multi-layered space-frequency MIMO schemes,” Circuits Systems and Signal Processing, vol. 2013, pp. 1-15, 2013.
[24] K. Liu, J. P. C. L. da Costa, H. C. So, A. L. F. de Almeida, “Semi-blind receivers for joint symbol and channel estimation in space-time-frequency MIMO-OFDM systems,” IEEE Transactions on Signal Processing, vol. 61, no. 21, pp. 5444-5457, 2013.
[23] A. L. F. de Almeida, C. A. R. Fernandes, D. B. da Costa, “Multiuser detection for uplink DS-CDMA amplify-and-forward relaying systems”, IEEE Signal Processing Letters, vol. 20, no. 7, pp. 697-700, 2013.
[22] A. L. F. de Almeida, G. Favier, “Double Khatri-Rao space-time-frequency coding for MIMO systems with semi-blind receiver based on two nested PARAFAC models,” IEEE Signal Processing Letters, vol. 20, no.5, pp. 471-474, 2013.
[21] A. L. F. de Almeida, G. Favier, L. R. Ximenes, “Space-time-frequency (STF) MIMO communication systems based on a generalized PARATUCK2 model”, IEEE Transactions on Signal Processing, vol. 61, n. 8, pp. 1895-1909, 2013.
[20] A. L. F. de Almeida, G. Favier, “Unified tensor model for space-frequency spreading-multiplexing (SFSM) MIMO communication systems,” EURASIP Journal on Advances in Signal Processing, vol. 2013, no. 48, March 2013.
[19] A. L. F. de Almeida, I. L. J. da Silva, “Closed-loop MIMO transceiver with space-time multilayer transmit selection,” Wireless Communications and Mobile Computing, vol. 2012, no. 6, June 2012.
[18] A. L. F. de Almeida, X. Luciani, P. Comon, A. W. Stegeman, “CONFAC decomposition approach to blind identification of underdetermined mixtures based on generating function derivatives,” IEEE Transactions on Signal Processing, vol. 60, n. 11, pp. 5698-5713, November 2012.
[17] C. A. R Fernandes, A. L. F. de Almeida, D. B. da Costa, “Unified tensor modeling for blind receivers in multiuser uplink cooperative systems,” IEEE Signal Processing Letters, vol. 19, pp. 247-250, May 2012.
[16] G. Favier, T. Bouilloc, A. L. F. de Almeida, “Blind constrained block-Tucker2 receiver for multiuser SIMO NL-CDMA communication systems”, Signal Processing, vol. 92, no. 7, pp. 1624-1636, July 2012.
[15] M. N. da Costa, G. Favier, A. L. F. de Almeida, J. M. T. Romano, “Tensor space-time (TST) coding for MIMO wireless communication system,” Signal Processing, vol. 92, no. 4, pp. 1079-1092, April 2012.
[14] W. C. Freitas Jr., D. C.Moreira, C. C. Cavalcante, A. L. F. de Almeida, “Backward recursion in layered space-time non-linear interference cancellation detectors,” Journal of Communication and Information Systems, vol. 26, pp. 30-34, 2012.
[13] X. Luciani, A. L. F. de Almeida, P. Comon, “Blind identification of underdetermined mixtures based on the characteristic function: the complex case”, IEEE Transactions on Signal Processing, vol. 59, no. 2, pp. 540-553, Feb. 2011.
[12] M. Binelo, A. L. F. de Almeida, F. R. P. Cavalcanti, “MIMO array capacity optimization using a genetic algorithm,” IEEE Transactions on Vehicular Technology, vol. 60, p. 2471-2481, July 2011.
[11] A. Stegeman, A. L. F. de Almeida, “Uniqueness conditions for constrained three-way factor decompositions with linearly dependent loadings,” SIAM Journal on Matrix Analysis and Applications, vol. 31, no. 3, pp. 865-876, Aug. 2009.
[10] P. Comon, X. Luciani, A. L. F. de Almeida, “Tensor decompositions, alternating least squares and other tales,” Journal of Chemometrics, vol. 23, no.7-8, pp. 393-405, Aug. 2009.
[9] A. L. F. de Almeida, G. Favier, J. C.M. Mota, “Constrained Tucker-3 model for blind beamforming”, Signal Processing, vol. 89, no. 6, pp. 1240-1244, June 2009.
[8] A. L. F. de Almeida, G. Favier, J. C.M. Mota, “Space-time spreading multiplexing for MIMO wireless communication systems using the PARATUCK-2 tensor model”, Signal Processing, vol. 89, no. 11, pp. 2103-2116, 2009.
[7] A. L. F. de Almeida, G. Favier, J. C.M. Mota, “Multiuser MIMO system using block space-time spreading and tensor modeling,” Signal Processing, vol. 88, no. 10, pp. 2388-2402, 2008.
[6] A. L. F. de Almeida, G. Favier, J. C.M. Mota, “Space-time spreading MIMO-CDMA downlink systems using constrained tensor modeling,” Signal Processing, vol. 88, no. 10, pp. 2403-2416, 2009.
[5] A. L. F. de Almeida, G. Favier, J. C.M. Mota, “A constrained factor decomposition with application to MIMO antenna systems,” IEEE Transactions on Signal Processing, vol. 56, no. 6, pp. 2429-2442, June 2008.
[4] A. L. F. de Almeida, G. Favier, J. C.M. Mota, “Constrained tensor modeling approach to blind multiple-antenna CDMA schemes,” IEEE Transactions on Signal Processing, vol. 56, no. 6, pp. 2417-2428, June 2008.
[3] A. L. F. de Almeida, G. Favier, J. C.M. Mota, “PARAFAC-based unified tensor modeling for wireless communication systems with application to blind multiuser equalization,” Signal Processing, vol. 87, no. 2, pp. 337-351, Feb. 2007.
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