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ORCIDAndré Lima Férrer de Almeida
André L. F. de Almeida
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- affiliation: Universidade Federal do Ceará, Fortaleza, Ceará, Brazil
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2020 – today
- 2025
[j96]Yassine Zniyed
, André L. F. de Almeida:
A stochastic algorithm for the ParaTuck decomposition. Digit. Signal Process. 156: 104767 (2025)- 2024
- [j95]Maryam Dehghan, José Henrique de Morais Goulart, André L. F. de Almeida:
Low-rank multilinear filtering. Digit. Signal Process. 153: 104646 (2024) - [j94]Kenneth B. A. Benício, André L. F. de Almeida, Bruno Sokal, Fazal-E. Asim, Behrooz Makki, Gábor Fodor:
Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems. IEEE Wirel. Commun. Lett. 13(2): 333-337 (2024) - [j93]Yuri S. Ribeiro, André L. F. de Almeida, Fazal-E. Asim, Behrooz Makki, Gábor Fodor:
Low-Complexity Joint Active and Passive Beamforming Design for IRS-Assisted MIMO. IEEE Wirel. Commun. Lett. 13(3): 607-611 (2024) - [c92]Sepideh Gherekhloo, Khaled Ardah, Gerald C. Nwalozie, André L. F. de Almeida, Martin Haardt:
An Efficient Channel Training Protocol for Channel Estimation in Double RIS-AIDED MIMO Systems. EUSIPCO 2024: 2067-2071 - [c91]Saidur R. Pavel, Yimin D. Zhang, Shunqiao Sun, André L. F. de Almeida:
Tensor Reconstruction-Based Sparse Array 2-D DOA Estimation of Mixed Coherent and Uncorrelated Signals. ICASSP 2024: 12876-12880 - 2023
- [j92]Maria F. K. B. Couras, Pablo H. U. de Pinho, Gérard Favier, Vicente Zarzoso, André L. F. de Almeida, João 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. Digit. Signal Process. 137: 104043 (2023) - [j91]Pablo H. U. de Pinho, Maria F. K. B. Couras, Gérard Favier, André L. F. de Almeida, João P. J. da Costa:
Semi-Blind Receivers for Two-Hop MIMO Relay Systems with a Combined TSTF-MSMKron Coding. Sensors 23(13): 5963 (2023) - [j90]Maxence Giraud, Vincent Itier, Rémy Boyer, Yassine Zniyed, André L. F. de Almeida:
Tucker Decomposition Based on a Tensor Train of Coupled and Constrained CP Cores. IEEE Signal Process. Lett. 30: 758-762 (2023) - [j89]Hang Zheng, Zhiguo Shi, Chengwei Zhou, André L. F. de Almeida:
Coarray Tensor Completion for DOA Estimation. IEEE Trans. Aerosp. Electron. Syst. 59(5): 5472-5486 (2023) - [j88]Gilderlan T. de Araújo, André L. F. de Almeida, Rémy Boyer, Gábor Fodor:
Semi-Blind Joint Channel and Symbol Estimation for IRS-Assisted MIMO Systems. IEEE Trans. Signal Process. 71: 1184-1199 (2023) - [j87]Paulo R. B. Gomes, Gilderlan Tavares de Araújo, Bruno Sokal, André L. F. de Almeida, Behrooz Makki, Gábor Fodor:
Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections. IEEE Trans. Veh. Technol. 72(11): 14200-14213 (2023) - [j86]Fazal-E. Asim, Charles C. Cavalcante, Felix Antreich, André L. F. de Almeida, Josef A. Nossek:
Efficient Hybrid A/D Beamforming for Millimeter-Wave Systems Using Butler Matrices. IEEE Trans. Wirel. Commun. 22(2): 1001-1013 (2023) - [j85]Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida, Behrooz Makki, Gábor Fodor:
Reducing the Control Overhead of Intelligent Reconfigurable Surfaces via a Tensor-Based Low-Rank Factorization Approach. IEEE Trans. Wirel. Commun. 22(10): 6578-6593 (2023) - [c90]Bruno Sokal, Fazal-E. Asim, André L. F. de Almeida:
Higher-Order Tensor-Based Joint Transmit/Receive Beamforming and IRS Optimization. CAMSAP 2023: 216-220 - [c89]Alla Manina, Mikus J. Grasis, André L. F. de Almeida, Martin Haardt:
Coupled Matrix Tensor Factorization via a Semi-Algebraic Solution Based on Simultaneous Matrix Diagonalization (SECSI -CMTF). CAMSAP 2023: 431-435 - [c88]Konstantin Usevich, Yassine Zniyed, Mariya Ishteva, Philippe Dreesen, André L. F. de Almeida:
Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. EUSIPCO 2023: 655-659 - [c87]Sepideh Gherekhloo, Khaled Ardah, André Lima Férrer de Almeida, Marjan Maleki, Martin Haardt:
Nested PARAFAC Tensor-Based Channel Estimation Method for Double RIS-Aided MIMO Communication Systems. EUSIPCO 2023: 1674-1678 - [c86]Liana Khamidullina, André L. F. de Almeida, Martin Haardt:
Rate Splitting and Precoding Strategies for Multi-User MIMO Broadcast Channels with Common and Private Streams. ICASSP 2023: 1-5 - [c85]Kenneth B. A. Benício, Bruno Sokal, André L. F. de Almeida, Fazal-E. Asim, Behrooz Makki, Gábor Fodor:
Low-Complexity Tensor-Based Monostatic Sensing for IRS-Assisted Communication Systems. ISWCS 2023: 1-6 - [c84]Amarilton L. Magalhães, André L. F. de Almeida:
Joint Channel and Symbol Estimation for Hybrid RIS Wireless Communications. ISWCS 2023: 1-6 - 2022
- [j84]Kristina Naskovska, Bruno Sokal, André L. F. de Almeida, Martin Haardt:
Using tensor contractions to derive the structure of slice-wise multiplications of tensors with applications to space-time Khatri-Rao coding for MIMO-OFDM systems. EURASIP J. Adv. Signal Process. 2022(1): 109 (2022) - [j83]Hang Zheng, Chengwei Zhou, Zhiguo Shi, André L. F. de Almeida:
SubTTD: DOA Estimation via Sub-Nyquist Tensor Train Decomposition. IEEE Signal Process. Lett. 29: 1978-1982 (2022) - [j82]Christoph Enneking, Felix Antreich, André L. F. de Almeida:
Randomized Spectral Separation Coefficient for Short Code Acquisition Performance Evaluation. IEEE Trans. Aerosp. Electron. Syst. 58(3): 1593-1608 (2022) - [j81]Liana Khamidullina, André L. F. de Almeida, Martin Haardt:
Multilinear Generalized Singular Value Decomposition (ML-GSVD) and Its Application to Multiuser MIMO Systems. IEEE Trans. Signal Process. 70: 2783-2797 (2022) - [j80]Roberto Pinto Antonioli, Iran Mesquita Braga, Gábor Fodor, Yuri C. B. Silva, André L. F. de Almeida, Walter C. Freitas Jr.:
On the Energy Efficiency of Cell-Free Systems With Limited Fronthauls: Is Coherent Transmission Always the Best Alternative? IEEE Trans. Wirel. Commun. 21(10): 8729-8743 (2022) - [j79]Fazal-E. Asim, André L. F. de Almeida, Felix Antreich, Martin Haardt, Charles C. Cavalcante:
Kronecker Product-Based Space-Time Block Codes. IEEE Wirel. Commun. Lett. 11(2): 386-390 (2022) - [j78]Gilderlan T. de Araújo, Paulo R. B. Gomes, André L. F. de Almeida, Gábor Fodor, Behrooz Makki:
Semi-Blind Joint Channel and Symbol Estimation in IRS-Assisted Multiuser MIMO Networks. IEEE Wirel. Commun. Lett. 11(7): 1553-1557 (2022) - [c83]Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida, Behrooz Makki, Gábor Fodor:
IRS Phase-Shift Feedback Overhead-Aware Model Based on Rank-One Tensor Approximation. GLOBECOM 2022: 3911-3916 - [c82]Hang Zheng, Chengwei Zhou, André L. F. de Almeida, Yujie Gu, Zhiguo Shi:
Doa Estimation Via Coarray Tensor Completion with Missing Slices. ICASSP 2022: 5053-5057 - [c81]Khaled Ardah, Sepideh Gherekhloo, André L. F. de Almeida, Martin Haardt:
Double-RIS Versus Single-RIS Aided Systems: Tensor-Based Mimo Channel Estimation and Design Perspectives. ICASSP 2022: 5183-5187 - [i10]Gilderlan Tavares de Araújo, Paulo Ricardo Brboza Gomes, André Lima Férrer de Almeida, Gábor Fodor, Behrooz Makki:
Semi-Blind Joint Channel and Symbol Estimation in IRS-Assisted Multi-User MIMO Networks. CoRR abs/2202.11087 (2022) - [i9]Gilderlan Tavares de Araújo, André Lima Férrer de Almeida, Rémy Boyer, Gábor Fodor:
Semi-Blind Joint Channel and Symbol Estimation for IRS-Assisted MIMO Systems. CoRR abs/2205.10290 (2022) - [i8]Paulo R. B. Gomes, Gilderlan T. de Araújo, Bruno Sokal, André L. F. de Almeida, Behrooz Makki, Gábor Fodor:
Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections. CoRR abs/2207.02700 (2022) - 2021
- [j77]Xi Han, Yingchun Zhou, André L. F. de Almeida, Walter C. Freitas Jr.:
Semiblind Uni-ALS receiver for a two-way MIMO relaying system based on the PARATUCK2 model. Digit. Signal Process. 110: 102916 (2021) - [j76]Xi Han, Xinyuan Zhao, André L. F. de Almeida, Walter da C. Freitas, Wenle Bai:
Enhanced Tensor-Based Joint Channel and Symbol Estimation in Dual-Hop MIMO Relaying Systems. IEEE Commun. Lett. 25(5): 1655-1659 (2021) - [j75]Gilderlan T. de Araújo, André L. F. de Almeida, Rémy Boyer:
Channel Estimation for Intelligent Reflecting Surface Assisted MIMO Systems: A Tensor Modeling Approach. IEEE J. Sel. Top. Signal Process. 15(3): 789-802 (2021) - [j74]Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida, Martin Haardt:
Tensor-Based Receiver for Joint Channel, Data, and Phase-Noise Estimation in MIMO-OFDM Systems. IEEE J. Sel. Top. Signal Process. 15(3): 803-815 (2021) - [j73]Khaled Ardah, Sepideh Gherekhloo, André L. F. de Almeida, Martin Haardt:
TRICE: A Channel Estimation Framework for RIS-Aided Millimeter-Wave MIMO Systems. IEEE Signal Process. Lett. 28: 513-517 (2021) - [j72]Francisco Hugo Costa Neto, Daniel Costa Araújo, Mateus P. Mota, Tarcisio F. Maciel, André L. F. de Almeida:
Uplink Power Control Framework Based on Reinforcement Learning for 5G Networks. IEEE Trans. Veh. Technol. 70(6): 5734-5748 (2021) - [j71]Fazal-E. Asim, Felix Antreich, Charles C. Cavalcante, André L. F. de Almeida, Josef A. Nossek:
Two-Dimensional Channel Parameter Estimation for Millimeter-Wave Systems Using Butler Matrices. IEEE Trans. Wirel. Commun. 20(4): 2670-2684 (2021) - [c80]Sepideh Gherekhloo, Khaled Ardah, André L. F. de Almeida, Martin Haardt:
Tensor-Based Channel Estimation and Reflection Design for RIS-Aided Millimeter-Wave MIMO Communication Systems. ACSCC 2021: 1683-1689 - [c79]Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida, Martin Haardt:
Joint Channel, Data, and Phase-Noise Estimation in MIMO-OFDM Systems Using a Tensor Modeling Approach. ICASSP 2021: 4460-4464 - [c78]Saulo Mendes de Melo, André Lima Férrer de Almeida, Lívia Almada Cruz, Ticiana Linhares Coelho da Silva:
A Chat Recommender System for COVID-19 Support based in Textual Sentence Embeddings. WI/IAT (Workshop/Special Session) 2021: 248-252 - [c77]Liana Khamidullina, André Lima Férrer de Almeida, Martin Haardt:
ML-GSVD-based MIMO-NOMA Networks. WSA 2021: 1-6 - 2020
- [j70]Alexandre Matos Pessoa, Bruno Sokal, Carlos F. M. e Silva, Tarcisio Ferreira Maciel, André Lima Férrer de Almeida, Francisco Rodrigo Porto Cavalcanti:
A CDL-Based Channel Model With Dual-Polarized Antennas for 5G MIMO Systems in Rural Remote Areas. IEEE Access 8: 163366-163379 (2020) - [j69]Sebastian Miron, Yassine Zniyed, Rémy Boyer, André Lima Férrer de Almeida, Gérard Favier, David Brie, Pierre Comon:
Tensor methods for multisensor signal processing. IET Signal Process. 14(10): 693-709 (2020) - [j68]Yassine Zniyed, Rémy Boyer, André L. F. de Almeida, Gérard Favier:
A TT-Based Hierarchical Framework for Decomposing High-Order Tensors. SIAM J. Sci. Comput. 42(2): A822-A848 (2020) - [j67]Bruno Sokal, André L. F. de Almeida, Martin Haardt:
Semi-blind receivers for MIMO multi-relaying systems via rank-one tensor approximations. Signal Process. 166 (2020) - [j66]Yassine Zniyed, Rémy Boyer, André L. F. de Almeida, Gérard Favier:
Tensor train representation of MIMO channels using the JIRAFE method. Signal Process. 171: 107479 (2020) - [j65]Fazal-E. Asim, Felix Antreich, Charles C. Cavalcante, André L. F. de Almeida, Josef A. Nossek:
Channel parameter estimation for millimeter-wave cellular systems with hybrid beamforming. Signal Process. 176: 107715 (2020) - [j64]Fazal-E. Asim, André L. F. de Almeida, Martin Haardt, Charles C. Cavalcante, Josef A. Nossek:
Rank-One Detector for Kronecker-Structured Constant Modulus Constellations. IEEE Signal Process. Lett. 27: 1420-1424 (2020) - [j63]Khaled Ardah, Gábor Fodor, Yuri C. B. Silva, Walter C. Freitas Jr., André L. F. de Almeida:
Hybrid Analog-Digital Beamforming Design for SE and EE Maximization in Massive MIMO Networks. IEEE Trans. Veh. Technol. 69(1): 377-389 (2020) - [j62]Carlos Alexandre R. Fernandes, Jianhe Du, Alex Pereira da Silva, André L. F. de Almeida:
Applications of Tensor Models in Wireless Communications and Mobile Computing. Wirel. Commun. Mob. Comput. 2020: 7393080:1-7393080:2 (2020) - [c76]Lucas N. Ribeiro, Stefan Schwarz, André L. F. de Almeida, Martin Haardt:
Low-Complexity Massive MIMO Tensor Precoding. ACSSC 2020: 348-355 - [c75]Liana Khamidullina, André L. F. de Almeida, Martin Haardt:
Multilinear Generalized Singular Value Decomposition (Ml-gsvd) with Application to Coordinated Beamforming in Multi-user Mimo Systems. ICASSP 2020: 4587-4591 - [c74]Khaled Ardah, Bruno Sokal, André L. F. de Almeida, Martin Haardt:
Compressed Sensing Based Channel Estimation and Open-loop Training Design for Hybrid Analog-digital Massive MIMO Systems. ICASSP 2020: 4597-4601 - [c73]Gilderlan T. de Araújo, André L. F. de Almeida:
PARAFAC-Based Channel Estimation for Intelligent Reflective Surface Assisted MIMO System. SAM 2020: 1-5 - [c72]Fazal-E. Asim, André L. F. de Almeida, Martin Haardt, Charles C. Cavalcante, Josef A. Nossek:
Multi-Linear Encoding and Decoding for MIMO Systems. SAM 2020: 1-5 - [c71]Damir Rakhimov, Sai Pavan Deram, Bruno Sokal, Kristina Naskovska, André Lima Férrer de Almeida, Martin Haardt:
Iterative Tensor Receiver for MIMO-GFDM systems. SAM 2020: 1-5 - [c70]Thiago A. de Vasconcelos, André L. F. de Almeida, Josef A. Nossek:
Matching Strategies for Multiantenna Arrays. WSA 2020: 1-6
2010 – 2019
- 2019
- [j61]Daniel C. Araujo, André Lima Férrer de Almeida, João Paulo C. L. da Costa, Rafael T. de Sousa Jr.:
Tensor-Based Channel Estimation for Massive MIMO-OFDM Systems. IEEE Access 7: 42133-42147 (2019) - [j60]Daniel C. Araujo, André Lima Férrer de Almeida, João Paulo C. L. da Costa, Rafael Timóteo de Sousa Júnior:
Corrections to "Tensor-Based Channel Estimation for Massive MIMO-OFDM Systems". IEEE Access 7: 121645 (2019) - [j59]Lucas N. Ribeiro, Stefan Schwarz, André Lima Férrer de Almeida:
Double-Sided Massive MIMO Transceivers for mmWave Communications. IEEE Access 7: 157667-157679 (2019) - [j58]Ricardo Kehrle Miranda, João Paulo C. L. da Costa, Binghua Guo, André L. F. de Almeida, Giovanni Del Galdo, Rafael Timóteo de Sousa Júnior:
Low-Complexity and High-Accuracy Semi-blind Joint Channel and Symbol Estimation for Massive MIMO-OFDM. Circuits Syst. Signal Process. 38(3): 1114-1136 (2019) - [j57]Paulo R. B. Gomes, João Paulo C. L. da Costa, André L. F. de Almeida, Rafael T. de Sousa Jr.:
Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing. Digit. Signal Process. 89: 1-7 (2019) - [j56]Paulo R. B. Gomes, André L. F. de Almeida, João Paulo C. L. da Costa, Rafael T. de Sousa Jr.:
A nested-PARAFAC based approach for target localization in bistatic MIMO radar systems. Digit. Signal Process. 89: 40-48 (2019) - [j55]Christoph Enneking, Felix Antreich, Lukas Krieger, André L. F. de Almeida:
Gaussian Approximations for Intra- and Intersystem Interference in RNSS. IEEE Commun. Lett. 23(7): 1198-1201 (2019) - [j54]Xi Han, André L. F. de Almeida, An Liu, Wenle Bai:
Semi-blind receiver for two-way MIMO relaying systems based on joint channel and symbol estimation. IET Commun. 13(8): 1090-1094 (2019) - [j53]Lucas N. Ribeiro, André L. F. de Almeida, Josef A. Nossek, João Cesar M. Mota:
Low-Complexity separable beamformers for massive antenna array systems. IET Signal Process. 13(4): 434-442 (2019) - [j52]Caio C. R. Garcez, Daniel Valle de Lima, Ricardo Kehrle Miranda, Fábio L. L. Mendonça, João Paulo C. L. da Costa, André L. F. de Almeida, Rafael T. de Sousa Jr.:
Tensor-Based Subspace Tracking for Time-Delay Estimation in GNSS Multi-Antenna Receivers. Sensors 19(23): 5076 (2019) - [j51]Lucas N. Ribeiro, André L. F. de Almeida, João Cesar M. Mota:
Separable linearly constrained minimum variance beamformers. Signal Process. 158: 15-25 (2019) - [j50]Yassine Zniyed, Rémy Boyer, André L. F. de Almeida, Gérard Favier:
Multidimensional harmonic retrieval based on Vandermonde tensor train. Signal Process. 163: 75-86 (2019) - [j49]Walter da C. Freitas, Gérard Favier, André L. F. de Almeida:
Tensor-Based Joint Channel and Symbol Estimation for Two-Way MIMO Relaying Systems. IEEE Signal Process. Lett. 26(2): 227-231 (2019) - [j48]Paulo R. B. Gomes, André L. F. de Almeida, João Paulo C. L. da Costa, Rafael T. de Sousa Jr.:
Joint DL and UL Channel Estimation for Millimeter Wave MIMO Systems Using Tensor Modeling. Wirel. Commun. Mob. Comput. 2019: 4858137:1-4858137:13 (2019) - [j47]Marcos T. de Oliveira, Ricardo Kehrle Miranda, João Paulo C. L. da Costa, André L. F. de Almeida, Rafael Timóteo de Sousa Júnior:
Low Cost Antenna Array Based Drone Tracking Device for Outdoor Environments. Wirel. Commun. Mob. Comput. 2019: 5437908:1-5437908:14 (2019) - [c69]Damir Rakhimov, Jianshu Zhang, André Lima Férrer de Almeida, Adel Nadeev, Martin Haardt:
Channel Estimation for Hybrid Multi-Carrier mmWave MIMO Systems Using 3-D Unitary Tensor-ESPRIT in DFT beamspace. ACSSC 2019: 447-451 - [c68]Daniel C. Araújo, André L. F. de Almeida:
Beam Management Solution Using Q-Learning Framework. CAMSAP 2019: 594-598 - [c67]Bruno Sokal, Martin Haardt, André L. F. de Almeida:
Semi-Blind Receiver for Two-Hop MIMO Relaying Systems via Selective Kronecker Product Modeling. CAMSAP 2019: 714-718 - [c66]Paulo R. B. Gomes, Gábor Fodor, Walter da C. Freitas, André L. F. de Almeida, Yuri C. B. Silva:
Tensor-Based Modeling and Processing for Channel Estimation in Two-Hop V2X MIMO Systems. CSCN 2019: 1-7 - [c65]Walter da C. Freitas, Gérard Favier, André L. F. de Almeida, Martin Haardt:
Two-Way MIMO Decode-and-Forward Relaying Systems with Tensor Space-Time Coding. EUSIPCO 2019: 1-5 - [c64]Yassine Zniyed, Rémy Boyer, André L. F. de Almeida, Gérard Favier:
Tensor-Train Modeling for Mimo-OFDM Tensor Coding-and-Forwarding Relay Systems. EUSIPCO 2019: 1-5 - [c63]Mateus P. Mota, Daniel C. Araujo, Francisco Hugo Costa Neto, André L. F. de Almeida, Francisco Rodrigo P. Cavalcanti:
Adaptive Modulation and Coding Based on Reinforcement Learning for 5G Networks. GLOBECOM Workshops 2019: 1-6 - [c62]Lucas N. Ribeiro, André L. F. de Almeida, Nitin Jonathan Myers, Robert W. Heath Jr.:
Tensor-based Estimation of mmWave MIMO Channels with Carrier Frequency Offset. ICASSP 2019: 4155-4159 - [c61]Khaled Ardah, André L. F. de Almeida, Martin Haardt:
A Gridless CS Approach for Channel Estimation in Hybrid Massive MIMO Systems. ICASSP 2019: 4160-4164 - [c60]Pablo H. de Pinho, Maria F. K. B. Couras, Gérard Favier, João Paulo C. L. da Costa, André L. F. de Almeida, João Paulo A. Maranhão:
Semi-Supervised Receivers for MIMO Systems with Multiple Khatri-Rao Coding. ICSPCS 2019: 1-7 - [c59]Alexandre Matos Pessoa, Bruno Sokal, Carlos F. M. e Silva, Tarcisio F. Maciel, André L. F. de Almeida, Diego Aguiar Sousa, Yuri C. B. Silva, Francisco Rodrigo P. Cavalcanti:
CDL-based Channel Model for 5G MIMO Systems in Remote Rural Areas. ISWCS 2019: 21-26 - [c58]Lucas N. Ribeiro, André L. F. de Almeida, João Cesar M. Mota:
Low-Rank Tensor MMSE Equalization. ISWCS 2019: 511-516 - [c57]Zahra Shakeri, Batoul Taki, André L. F. de Almeida, Mohsen Ghassemi, Waheed U. Bajwa:
Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems. SPAWC 2019: 1-5 - [c56]Fazal-E. Asim, Josef A. Nossek, Felix Antreich, Charles Casimiro Cavalcante, André Lima Férrer de Almeida:
Maximum Likelihood Channel Estimation for Millimeter-Wave MIMO Systems with Hybrid Beamforming. WSA 2019: 158-163 - [c55]Khaled Ardah, André L. F. de Almeida, Martin Haardt:
Low-Complexity Millimeter Wave CSI Estimation in MIMO-OFDM Hybrid Beamforming Systems. WSA 2019: 169-173 - [i7]Mateus P. Mota, Daniel C. Araujo, Francisco Hugo Costa Neto, André L. F. de Almeida, Francisco Rodrigo Porto Cavalcanti:
Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks. CoRR abs/1912.04030 (2019) - 2018
- [j46]Gilderlan T. de Araújo, André L. F. de Almeida:
Closed-Form Channel Estimation for MIMO Space-Time Coded Systems Using a Fourth-Order Tensor-Based Receiver. Circuits Syst. Signal Process. 37(3): 1343-1357 (2018) - [j45]Samuel T. Valduga, Luc Deneire, Ramon Aparicio-Pardo, André L. F. de Almeida, Tarcisio F. Maciel, João Cesar M. Mota:
Low-complexity heuristics to beam selection and rate adaptation in sparse massive MIMO systems. Trans. Emerg. Telecommun. Technol. 29(9) (2018) - [j44]Lucas N. Ribeiro, Stefan Schwarz, Markus Rupp, André Lima Férrer de Almeida:
Energy Efficiency of mmWave Massive MIMO Precoding With Low-Resolution DACs. IEEE J. Sel. Top. Signal Process. 12(2): 298-312 (2018) - [j43]Walter C. Freitas Jr., Gérard Favier, André L. F. de Almeida:
Generalized Khatri-Rao and Kronecker space-time coding for MIMO relay systems with closed-form semi-blind receivers. Signal Process. 151: 19-31 (2018) - [c54]Kristina Naskovska, Yao Cheng, André L. F. de Almeida, Martin Haardt:
Efficient Computation of the PARAFAC2 Decomposition via Generalized Tensor Contractions. ACSSC 2018: 323-327 - [c53]Yassine Zniyed, Rémy Boyer, André L. F. de Almeida, Gérard Favier:
High-Order CPD Estimation with Dimensionality Reduction Using a Tensor Train Model. EUSIPCO 2018: 2613-2617 - [c52]Kristina Naskovska, Martin Haardt, André Lima Férrer de Almeida:
Generalized Tensor Contractions for an Improved Receiver Design in MIMO-OFDM Systems. ICASSP 2018: 3186-3190 - [i6]Lucas N. Ribeiro, André L. F. de Almeida, Josef A. Nossek, João Cesar M. Mota:
Low-complexity separable beamformers for massive antenna array systems. CoRR abs/1805.00176 (2018) - 2017
- [j42]Paulo R. B. Gomes, André L. F. de Almeida, João Paulo C. L. da Costa, Giovanni Del Galdo:
Tensor-based methods for blind spatial signature estimation under arbitrary and unknown source covariance structure. Digit. Signal Process. 62: 197-210 (2017) - [j41]Ricardo Kehrle Miranda, João Paulo C. L. da Costa, Florian Roemer, Leonardo R. A. X. de Menezes, Giovanni Del Galdo, André L. F. de Almeida:
Low complexity performance assessment of a sensor array via unscented transformation. Digit. Signal Process. 63: 190-198 (2017) - [j40]Walter C. Freitas Jr., Gérard Favier, André Lima Férrer de Almeida:
Sequential Closed-Form Semiblind Receiver for Space-Time Coded Multihop Relaying Systems. IEEE Signal Process. Lett. 24(12): 1773-1777 (2017) - [c51]Daniel C. Araujo, André L. F. de Almeida:
Tensor-Based compressed estimation of frequency-selective mmWave MIMO channels. CAMSAP 2017: 1-5 - [c50]Kristina Naskovska, Martin Haardt, André L. F. de Almeida:
Generalized tensor contraction with application to khatri-rao coded MIMO OFDM systems. CAMSAP 2017: 1-5 - [c49]Eleftherios Kofidis, Christos Chatzichristos, André Lima Férrer de Almeida:
Joint channel estimation / data detection in MIMO-FBMC/OQAM systems - A tensor-based approach. EUSIPCO 2017: 420-424 - [c48]Lucas N. Ribeiro, Stefan Schwarz, Markus Rupp, André L. F. de Almeida, João Cesar Moura Mota:
A low-complexity equalizer for massive MIMO systems based on array separability. EUSIPCO 2017: 2453-2457 - [c47]Daniel C. Araujo, Eleftherios Karipidis, André Lima Férrer de Almeida, João Cesar M. Mota:
Hybrid beamforming design with finite-resolution phase-shifters for frequency selective massive MIMO channels. ICASSP 2017: 6498-6502 - [c46]Samuel T. Valduga, Luc Deneire, André Lima Férrer de Almeida, Tarcisio F. Maciel, Ramon Aparicio-Pardo:
Low complexity beam selection for sparse massive MIMO systems. ISWCS 2017: 414-419 - [i5]Lucas N. Ribeiro, Stefan Schwarz, Markus Rupp, André L. F. de Almeida:
Energy efficiency of mmWave massive MIMO precoding with low-resolution DACs. CoRR abs/1709.05139 (2017) - 2016
- [j39]Alex Pereira da Silva, Pierre Comon, André L. F. de Almeida:
On the reduction of multivariate quadratic systems to best rank-1 approximation of three-way tensors. Appl. Math. Lett. 62: 9-15 (2016) - [j38]Daniel C. Araujo, Taras Maksymyuk, André L. F. de Almeida, Tarcisio F. Maciel, João Cesar M. Mota, Minho Jo:
Massive MIMO: survey and future research topics. IET Commun. 10(15): 1938-1946 (2016) - [j37]Long-Ting Huang, André L. F. de Almeida, Hing Cheung So:
Target estimation in bistatic MIMO radar via tensor completion. Signal Process. 120: 654-659 (2016) - [j36]Gérard Favier, Carlos Alexandre R. Fernandes, André L. F. de Almeida:
Nested Tucker tensor decomposition with application to MIMO relay systems using tensor space-time coding (TSTC). Signal Process. 128: 318-331 (2016) - [j35]Leandro Ronchini Ximenes, Gérard Favier, André L. F. de Almeida:
Closed-Form Semi-Blind Receiver For MIMO Relay Systems Using Double Khatri-Rao Space-Time Coding. IEEE Signal Process. Lett. 23(3): 316-320 (2016) - [j34]Alex Pereira da Silva, Pierre Comon, André Lima Férrer de Almeida:
A Finite Algorithm to Compute Rank-1 Tensor Approximations. IEEE Signal Process. Lett. 23(7): 959-963 (2016) - [c45]Lucas N. Ribeiro, André Lima Férrer de Almeida, João Cesar M. Mota:
Tensor beamforming for multilinear translation invariant arrays. ICASSP 2016: 2966-2970 - [c44]Daniel C. Araujo, Eleftherios Karipidis, André Lima Férrer de Almeida, João Cesar M. Mota:
Improving spectral efficiency in large-array FDD systems with hybrid beamforming. SAM 2016: 1-5 - [c43]Marco A. M. Marinho, João Paulo Carvalho Lustosa da Costa, Felix Antreich, André Lima Férrer de Almeida, Giovanni Del Galdo, Edison Pignaton de Freitas, Alexey V. Vinel:
Array interpolation based on multivariate adaptive regression splines. SAM 2016: 1-5 - [c42]Lucas N. Ribeiro, André Lima Férrer de Almeida, Vicente Zarzoso:
Enhanced block term decomposition for atrial activity extraction in atrial fibrillation ECG. SAM 2016: 1-5 - [c41]Bilal Hammoud, Felix Antreich, Josef A. Nossek, João Paulo Carvalho Lustosa da Costa, André Lima Férrer de Almeida:
Tensor-Based Approach for Time-Delay Estimation. WSA 2016: 1-7 - [i4]Eleftherios Kofidis, Christos Chatzichristos, André L. F. de Almeida:
Joint Channel Estimation / Data Detection in MIMO-FBMC/OQAM Systems - A Tensor-Based Approach. CoRR abs/1609.09661 (2016) - 2015
- [j33]Italo Vitor Cavalcante, André Lima Férrer de Almeida, Martin Haardt:
Joint Channel Estimation for Three-Hop MIMO Relaying Systems. IEEE Signal Process. Lett. 22(12): 2430-2434 (2015) - [j32]Leandro Ronchini Ximenes, Gérard Favier, André L. F. de Almeida:
Semi-Blind Receivers for Non-Regenerative Cooperative MIMO Communications Based on Nested PARAFAC Modeling. IEEE Trans. Signal Process. 63(18): 4985-4998 (2015) - [j31]Han Xi, André L. F. de Almeida:
Multiuser Receiver for Joint Symbol/Channel Estimation in Dual-Hop Relaying Systems. Wirel. Pers. Commun. 83(1): 17-33 (2015) - [c40]Lucas N. Ribeiro, André L. F. de Almeida, João Cesar M. Mota:
Identification of separable systems using trilinear filtering. CAMSAP 2015: 189-192 - [c39]Ricardo Kehrle Miranda, João Paulo Carvalho Lustosa da Costa, Florian Roemer, André L. F. de Almeida, Giovanni Del Galdo:
Generalized sidelobe cancellers for multidimensional separable arrays. CAMSAP 2015: 193-196 - [c38]Daniel C. Araujo, André Lima Férrer de Almeida, João Cesar M. Mota:
Compressive sensing based channel estimation for massive MIMO systems with planar arrays. CAMSAP 2015: 413-416 - [c37]Lucas N. Ribeiro, Antonio R. Hidalgo-Muñoz, Gérard Favier, João Cesar M. Mota, André L. F. de Almeida, Vicente Zarzoso:
A tensor decomposition approach to noninvasive atrial activity extraction in atrial fibrillation ECG. EUSIPCO 2015: 2576-2580 - [c36]Alex Pereira da Silva, Pierre Comon, André Lima Férrer de Almeida:
An iterative deflation algorithm for exact CP tensor decomposition. ICASSP 2015: 3961-3965 - [c35]Marco A. M. Marinho, João Paulo Carvalho Lustosa da Costa, Felix Antreich, André Lima Férrer de Almeida:
Multidimensional Array Interpolation Applied to Direction of Arrival Estimation. WSA 2015: 1-6 - [i3]Alex Pereira da Silva, Pierre Comon, André Lima Férrer de Almeida:
Rank-1 Tensor Approximation Methods and Application to Deflation. CoRR abs/1508.05273 (2015) - 2014
- [j30]Walter C. Freitas Jr., André L. F. de Almeida, João Paulo C. L. da Costa:
Blind Joint Channel Estimation and Data Detection for Precoded Multi-Layered Space-Frequency MIMO Schemes. Circuits Syst. Signal Process. 33(4): 1215-1229 (2014) - [j29]Leandro Ronchini Ximenes, André L. F. de Almeida:
Directional Estimation of Block-Fading MIMO Channels Using Spherical Harmonics Expansion and Tensor Analysis. Circuits Syst. Signal Process. 33(9): 2935-2959 (2014) - [j28]Gérard Favier, André Lima Férrer de Almeida:
Overview of constrained PARAFAC models. EURASIP J. Adv. Signal Process. 2014: 142 (2014) - [j27]Xi Han, André L. F. de Almeida, Zhen Yang:
Channel estimation for MIMO multi-relay systems using a tensor approach. EURASIP J. Adv. Signal Process. 2014: 163 (2014) - [j26]Carlos Alexandre R. Fernandes, Daniel B. da Costa, André L. F. de Almeida:
Performance analysis of cooperative amplify-and-forward orthogonal frequency division multiplexing systems with power amplifier non-linearity. IET Commun. 8(18): 3223-3233 (2014) - [j25]Leandro Ronchini Ximenes, Gérard Favier, André Lima Férrer de Almeida, Yuri C. B. Silva:
PARAFAC-PARATUCK Semi-Blind Receivers for Two-Hop Cooperative MIMO Relay Systems. IEEE Trans. Signal Process. 62(14): 3604-3615 (2014) - [j24]Gérard Favier, André L. F. de Almeida:
Tensor Space-Time-Frequency Coding With Semi-Blind Receivers for MIMO Wireless Communication Systems. IEEE Trans. Signal Process. 62(22): 5987-6002 (2014) - [j23]Minho Jo, Taras Maksymyuk, Rodrigo L. Batista, Tarcisio F. Maciel, André L. F. de Almeida, Mykhailo Klymash:
A survey of converging solutions for heterogeneous mobile networks. IEEE Wirel. Commun. 21(6): 54-62 (2014) - [j22]Nuwan S. Ferdinand, Daniel Benevides da Costa, André L. F. de Almeida, Matti Latva-aho:
Physical Layer Secrecy Performance of TAS Wiretap Channels with Correlated Main and Eavesdropper Channels. IEEE Wirel. Commun. Lett. 3(1): 86-89 (2014) - [j21]André L. F. de Almeida, Icaro L. J. da Silva:
Closed-loop MIMO transceiver with space-time multilayer transmit selection. Wirel. Commun. Mob. Comput. 14(10): 963-978 (2014) - [j20]Icaro L. J. da Silva, André L. F. de Almeida, Robert Baldemair, Sorour Falahati, Francisco Rodrigo P. Cavalcanti:
A Multi-user Receiver for Inter-Cell Interference Reduction in LTE PUCCH Signaling. Wirel. Pers. Commun. 75(4): 2523-2547 (2014) - [c34]Daniel C. Araujo, André L. F. de Almeida, Johan Axnäs, João Cesar M. Mota:
Channel estimation for millimeter-wave Very-Large MIMO systems. EUSIPCO 2014: 81-85 - [c33]André Lima Férrer de Almeida, Alain Y. Kibangou:
Distributed large-scale tensor decomposition. ICASSP 2014: 26-30 - [c32]Paulo R. B. Gomes, André L. F. de Almeida, João Paulo C. L. da Costa:
Fourth-order tensor method for blind spatial signature estimation. ICASSP 2014: 2992-2996 - [c31]Nuwan S. Ferdinand, Daniel Benevides da Costa, André Lima Férrer de Almeida, Matti Latva-aho:
Secrecy outage performance of MISO wiretap channels with outdated CSI. ICC Workshops 2014: 789-793 - [c30]Italo Vitor Cavalcante, André L. F. de Almeida, Martin Haardt:
Tensor-based approach to channel estimation in amplify-and-forward MIMO relaying systems. SAM 2014: 445-448 - [i2]Gérard Favier, André L. F. de Almeida:
Overview of Constrained PARAFAC Models. CoRR abs/1405.7442 (2014) - [i1]Alain Y. Kibangou, André L. F. de Almeida:
Consensus-based In-Network Computation of the PARAFAC Decomposition. CoRR abs/1406.1572 (2014) - 2013
- [j19]André L. F. de Almeida, Gérard Favier:
Unified tensor model for space-frequency spreading-multiplexing (SFSM) MIMO communication systems. EURASIP J. Adv. Signal Process. 2013: 48 (2013) - [j18]André L. F. de Almeida, Gérard Favier:
Double Khatri-Rao Space-Time-Frequency Coding Using Semi-Blind PARAFAC Based Receiver. IEEE Signal Process. Lett. 20(5): 471-474 (2013) - [j17]André Lima Férrer de Almeida, Carlos Alexandre R. Fernandes, Daniel Benevides da Costa:
Multiuser Detection for Uplink DS-CDMA Amplify-and-Forward Relaying Systems. IEEE Signal Process. Lett. 20(7): 697-700 (2013) - [j16]André L. F. de Almeida, Gérard Favier, Leandro Ronchini Ximenes:
Space-Time-Frequency (STF) MIMO Communication Systems With Blind Receiver Based on a Generalized PARATUCK2 Model. IEEE Trans. Signal Process. 61(8): 1895-1909 (2013) - [j15]Kefei Liu, João Paulo Carvalho Lustosa da Costa, Hing-Cheung So, André Lima Férrer de Almeida:
Semi-Blind Receivers for Joint Symbol and Channel Estimation in Space-Time-Frequency MIMO-OFDM Systems. IEEE Trans. Signal Process. 61(21): 5444-5457 (2013) - [c29]Marco A. M. Marinho, Edison Pignaton de Freitas, João Paulo Carvalho Lustosa da Costa, André Lima Férrer de Almeida, Rafael Timóteo de Sousa Júnior:
Using MIMO Techniques to Enhance Communication Among Static and Mobile Nodes in Wireless Sensor Networks. AINA 2013: 500-505 - [c28]André L. F. de Almeida, Alain Y. Kibangou:
Distributed computation of tensor decompositions in collaborative networks. CAMSAP 2013: 232-235 - [c27]Francisco Herbert Lima Vasconcelos, Thomaz E. V. da Silva, André Lima Férrer de Almeida, João Cesar M. Mota, Wagner Bandeira Andriola:
Multilinear decomposition application into students' evaluation of teaching effectiveness. EDUCON 2013: 910-916 - [c26]Thomaz E. V. da Silva, Francisco Herbert Lima Vasconcelos, André L. F. de Almeida, João Cesar M. Mota, Wagner Bandeira Andriola:
A new approach to analyze the curriculum structure using the Students' Evaluation of Education Quality instrument. FIE 2013: 171-174 - [c25]Albano O. Nunes, Thomaz E. V. da Silva, André L. F. de Almeida, João Cesar M. Mota, Wagner Bandeira Andriola:
Analyzing the quality of the engineering course's management using information processing based on multivariate statistics: A case study under the professors' perspectives. FIE 2013: 175-178 - [c24]André L. F. de Almeida, Alain Y. Kibangou, Sebastian Miron, Daniel C. Araujo:
Joint data and connection topology recovery in collaborative wireless sensor networks. ICASSP 2013: 5303-5307 - 2012
- [j14]Gérard Favier, Michele Nazareth da Costa, André L. F. de Almeida, João Marcos Travassos Romano:
Tensor space-time (TST) coding for MIMO wireless communication systems. Signal Process. 92(4): 1079-1092 (2012) - [j13]Gérard Favier, Thomas Bouilloc, André L. F. de Almeida:
Blind constrained block-Tucker2 receiver for multiuser SIMO NL-CDMA communication systems. Signal Process. 92(7): 1624-1636 (2012) - [j12]Carlos Alexandre Rolim Fernandes, André Lima Férrer de Almeida, Daniel Benevides da Costa:
Unified Tensor Modeling for Blind Receivers in Multiuser Uplink Cooperative Systems. IEEE Signal Process. Lett. 19(5): 247-250 (2012) - [j11]André L. F. de Almeida, Xavier Luciani, Alwin Stegeman, Pierre Comon:
CONFAC Decomposition Approach to Blind Identification of Underdetermined Mixtures Based on Generating Function Derivatives. IEEE Trans. Signal Process. 60(11): 5698-5713 (2012) - [c23]André Lima Férrer de Almeida, Xavier Luciani, Pierre Comorv:
Fourth-order CONFAC decomposition approach for blind identification of underdetermined mixtures. EUSIPCO 2012: 290-294 - [c22]Edison Pignaton de Freitas, João Paulo Carvalho Lustosa da Costa, André Lima Férrer de Almeida, Marco A. M. Marinho:
Applying MIMO Techniques to Minimize Energy Consumption for Long Distances Communications in Wireless Sensor Networks. NEW2AN 2012: 379-390 - 2011
- [j10]Xavier Luciani, André Lima Férrer de Almeida, Pierre Comon:
Blind Identification of Underdetermined Mixtures Based on the Characteristic Function: The Complex Case. IEEE Trans. Signal Process. 59(2): 540-553 (2011) - [j9]Manuel O. Binelo, André L. F. de Almeida, Francisco Rodrigo P. Cavalcanti:
MIMO Array Capacity Optimization Using a Genetic Algorithm. IEEE Trans. Veh. Technol. 60(6): 2471-2481 (2011) - [c21]Gérard Favier, Michele Nazareth da Costa, André L. F. de Almeida, João Marcos Travassos Romano:
Tensor coding for CDMA-mimowireless communication systems. EUSIPCO 2011: 101-105 - [c20]Alain Y. Kibangou, André L. F. de Almeida:
Distributed Khatri-Rao space-time coding and decoding for cooperative networks. EUSIPCO 2011: 809-813 - [c19]André L. F. de Almeida, Walter C. Freitas Jr.:
Blind Receiver for Multi-Layered Space-Frequency Coded MIMO Schemes Based on Temporally Extended Linear Constellation Precoding. VTC Fall 2011: 1-5 - [c18]Leandro Ronchini Ximenes, André L. F. de Almeida:
Performance Evaluation of Mobile Phone Antennas in Physical MIMO Channels Using Polarized Spherical Harmonic Decomposition. VTC Fall 2011: 1-5 - 2010
- [c17]Xavier Luciani, André Lima Férrer de Almeida, Pierre Comon:
Blind identification of underdetermined mixtures of complex sources based on the characteristic function. EUSIPCO 2010: 885-889 - [c16]André L. F. de Almeida, Pierre Comon, Xavier Luciani:
Deterministic Blind Separation of Sources Having Different Symbol Rates Using Tensor-Based Parallel Deflation. LVA/ICA 2010: 362-369 - [c15]Icaro L. J. da Silva, André L. F. de Almeida, Francisco Rodrigo P. Cavalcanti, Robert Baldemair, Sorour Falahati:
Improved Data-Aided Channel Estimation in LTE PUCCH Using a Tensor Modeling Approach. ICC 2010: 1-5 - [c14]André L. F. de Almeida, Gérard Favier:
MIMO Transceiver Combining Space-Frequency Spreading and Block-Coding. VTC Fall 2010: 1-5 - [c13]Manuel O. Binelo, André L. F. de Almeida, Jonas Medbo, Henrik Asplund, Francisco Rodrigo P. Cavalcanti:
MIMO Channel Characterization and Capacity Evaluation in an Outdoor Environment. VTC Fall 2010: 1-5 - [c12]Icaro L. J. da Silva, André L. F. de Almeida, Robert Baldemair, Sorour Falahati, Francisco Rodrigo P. Cavalcanti:
A Multi-User Receiver for PUCCH LTE FORMAT 1 in Non-Cooperative Multi-Cell Architectures. VTC Fall 2010: 1-5 - [c11]Leandro Ronchini Ximenes, André L. F. de Almeida:
Capacity Evaluation of MIMO Antenna Systems Using Spherical Harmonics Expansion. VTC Fall 2010: 1-5
2000 – 2009
- 2009
- [j8]Alwin Stegeman, André L. F. de Almeida:
Uniqueness Conditions for Constrained Three-Way Factor Decompositions with Linearly Dependent Loadings. SIAM J. Matrix Anal. Appl. 31(3): 1469-1490 (2009) - [j7]André L. F. de Almeida, Gérard Favier, João Cesar M. Mota:
Constrained Tucker-3 model for blind beamforming. Signal Process. 89(6): 1240-1244 (2009) - [j6]André L. F. de Almeida, Gérard Favier, João Cesar M. Mota:
Space-time spreading-multiplexing for MIMO wireless communication systems using the PARATUCK-2 tensor model. Signal Process. 89(11): 2103-2116 (2009) - 2008
- [j5]André L. F. de Almeida, Gérard Favier, João Cesar M. Mota:
Multiuser MIMO system using block space-time spreading and tensor modeling. Signal Process. 88(10): 2388-2402 (2008) - [j4]André L. F. de Almeida, Gérard Favier, João Cesar M. Mota:
Space-time spreading MIMO-CDMA downlink systems using constrained tensor modeling. Signal Process. 88(10): 2403-2416 (2008) - [j3]André L. F. de Almeida, Gérard Favier, João Cesar M. Mota:
Constrained Tensor Modeling Approach to Blind Multiple-Antenna CDMA Schemes. IEEE Trans. Signal Process. 56(6): 2417-2428 (2008) - [j2]André L. F. de Almeida, Gérard Favier, João Cesar M. Mota:
A Constrained Factor Decomposition With Application to MIMO Antenna Systems. IEEE Trans. Signal Process. 56(6): 2429-2442 (2008) - [c10]André L. F. de Almeida, Gérard Favier, João Cesar M. Mota:
Space-time spreading-multiplexing for MIMO antenna systems with blind detection using the PARATUCK-2 tensor decomposition. EUSIPCO 2008: 1-5 - 2007
- [j1]André L. F. de Almeida, Gérard Favier, João Cesar M. Mota:
PARAFAC-based unified tensor modeling for wireless communication systems with application to blind multiuser equalization. Signal Process. 87(2): 337-351 (2007) - [c9]André Lima Férrer de Almeida, Gérard Favier, João Cesar M. Mota:
Constrained space-time spreading for MIMO-CDMA systems: Tensor modeling and blind detection. EUSIPCO 2007: 2199-2203 - 2006
- [c8]André L. F. de Almeida, Gérard Favier, João Cesar M. Mota:
Multipath Parameter Estimation of Time-Varying Space-Time Communication Channels Using Parallel Factor Analysis. ICASSP (4) 2006: 453-456 - [c7]André L. F. de Almeida, Gérard Favier, Charles Casimiro Cavalcante, João Cesar M. Mota:
Tensor-Based Space-Time Multiplexing Codes for MIMO-OFDM Systems with Blind Detection. PIMRC 2006: 1-5 - 2005
- [c6]André L. F. de Almeida, Gérard Favier, João Cesar M. Mota:
PARAFAC receiver for blind multiuser equalization in wireless communication systems with temporal oversampling. EUSIPCO 2005: 1-4 - 2004
- [c5]Walter C. Freitas Jr., André L. F. de Almeida, João Cesar M. Mota, Francisco Rodrigo P. Cavalcanti, Raul L. de Lacerda Neto:
Performance of MIMO Antenna Systems with Hybrids of Transmit Diversity and Spatial Multiplexing Using Soft-Output Decoding. ICT 2004: 28-37 - 2002
- [c4]Francisco Rodrigo P. Cavalcanti, André L. F. de Almeida, Carlos Estêvão R. Fernandes, Walter C. Freitas Jr.:
BLAST/MIMO performance with space-time processing receivers. PIMRC 2002: 859-863 - [c3]Walter C. Freitas Jr., Francisco Rodrigo P. Cavalcanti, Charles Casimiro Cavalcante, Danilo Zanatta-Filho, André L. F. de Almeida:
Link performance evaluation for EGPRS with multiple antennas. PIMRC 2002: 2092-2096 - [c2]André L. F. de Almeida, Cristiano M. Panazio, Francisco Rodrigo P. Cavalcanti, Carlos Estêvão R. Fernandes:
Space-time processing with a decoupled delayed decision-feedback sequence estimator. VTC Spring 2002: 1269-1273 - 2001
- [c1]Francisco Rodrigo P. Cavalcanti, Carlos Estêvão R. Fernandes, André L. F. de Almeida, João Cesar M. Mota:
Performance evaluation of sub-space techniques for array processing in TDMA systems. VTC Fall 2001: 1264-1268
Coauthor Index
Gilderlan T. de Araújo
aka: Gilderlan Tavares de Araújo
aka: Gilderlan Tavares de Araújo
Charles C. Cavalcante
aka: Charles Casimiro Cavalcante
aka: Charles Casimiro Cavalcante
Francisco Rodrigo Porto Cavalcanti
aka: Francisco Rodrigo P. Cavalcanti
aka: Francisco Rodrigo P. Cavalcanti
Walter C. Freitas Jr.
aka: Walter da C. Freitas
aka: Walter da C. Freitas
Paulo R. B. Gomes
aka: Paulo Ricardo Brboza Gomes
aka: Paulo Ricardo Brboza Gomes
Rafael Timóteo de Sousa Júnior
aka: Rafael T. de Sousa Jr.
aka: Rafael T. de Sousa Jr.
João Cesar M. Mota
aka: João Cesar Moura Mota
aka: João Cesar Moura Mota
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