Search Results - "de Almeida, A L F"

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  1. 1

    Tensor decompositions, alternating least squares and other tales by Comon, P., Luciani, X., de Almeida, A. L. F.

    Published in Journal of chemometrics (01-07-2009)
    “…This work was originally motivated by a classification of tensors proposed by Richard Harshman. In particular, we focus on simple and multiple ‘bottlenecks’,…”
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    Journal Article
  2. 2

    Double Khatri-Rao Space-Time-Frequency Coding Using Semi-Blind PARAFAC Based Receiver by de Almeida, A. L. F., Favier, G.

    Published in IEEE signal processing letters (01-05-2013)
    “…We first introduce a new class of tensor models for fourth-order tensors, referred to as "nested PARAFAC models." Then, we present a space-time-frequency (STF)…”
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    Journal Article
  3. 3

    Semi-blind receivers based on a coupled nested Tucker-PARAFAC model for dual-polarized MIMO systems using combined TST and MSMKron codings by Couras, M.F.K.B., de Pinho, P.H.U., Favier, G., Zarzoso, V., de Almeida, A.L.F., da Costa, J.P.J.

    Published in Digital signal processing (15-06-2023)
    “…Over the past two decades, tensor-based approaches have generated ever-increasing interest for designing multiple-input multiple-output (MIMO) communication…”
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    Journal Article
  4. 4

    Multiuser Detection for Uplink DS-CDMA Amplify-and-Forward Relaying Systems by de Almeida, A. L. F., Fernandes, C. A. R., Benevides da Costa, Daniel

    Published in IEEE signal processing letters (01-07-2013)
    “…We consider the uplink of a cooperative DS-CDMA communication system, where each user communicates with the base station through a direct link and with the…”
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    Journal Article
  5. 5

    Unified Tensor Modeling for Blind Receivers in Multiuser Uplink Cooperative Systems by Rolim Fernandes, Carlos Alexandre, de Almeida, A. L. F., Benevides da Costa, Daniel

    Published in IEEE signal processing letters (01-05-2012)
    “…In this letter, we present new blind receivers for uplink multiuser cooperative diversity systems. Considering amplify-and-forward (AF), fixed…”
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    Journal Article
  6. 6

    CONFAC Decomposition Approach to Blind Identification of Underdetermined Mixtures Based on Generating Function Derivatives by de Almeida, A. L. F., Luciani, X., Stegeman, A., Comon, P.

    Published in IEEE transactions on signal processing (01-11-2012)
    “…This work proposes a new tensor-based approach to solve the problem of blind identification of underdetermined mixtures of complex-valued sources exploiting…”
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    Journal Article
  7. 7

    Blind Identification of Underdetermined Mixtures Based on the Characteristic Function: The Complex Case by Luciani, X, de Almeida, A L F, Comon, P

    Published in IEEE transactions on signal processing (01-02-2011)
    “…Blind identification of underdetermined mixtures can be addressed efficiently by using the second ChAracteristic Function (CAF) of the observations. Our…”
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    Journal Article
  8. 8

    MIMO Array Capacity Optimization Using a Genetic Algorithm by Binelo, M. O., de Almeida, A. L. F., Cavalcanti, F. R. P.

    Published in IEEE transactions on vehicular technology (01-07-2011)
    “…This paper discusses the design of multiple-input-multiple-output (MIMO) antenna systems and proposes a genetic algorithm to obtain the position and…”
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    Journal Article
  9. 9

    Developing an Instrument for Assessment of Academic Management in Engineering Courses by Oliveira Nunes, Albano, Edson Veloso da Silva, Thomaz, Cesar Moura Mota, Joao, Lima Ferrer de Almeida, Andre, Bandeira Andriola, Wagner

    Published in Revista IEEE América Latina (01-01-2015)
    “…Higher education in Brazil been expanding in recent years, although, one of the major problems encountered have been the evasion and failure rates in general…”
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    Journal Article
  10. 10

    Blind Receiver for Multi-Layered Space-Frequency Coded MIMO Schemes Based on Temporally Extended Linear Constellation Precoding by de Almeida, A. L. F., Freitas, Walter C.

    “…This work formulates a new receiver for the blind decoding of multi-layered space-frequency codes (MLSFC) in multiple input multiple output (MIMO) systems…”
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    Conference Proceeding
  11. 11

    Performance Evaluation of Mobile Phone Antennas in Physical MIMO Channels Using Polarized Spherical Harmonic Decomposition by Ximenes, L. R., de Almeida, A. L. F.

    “…Modern wireless communications systems fall on the use of multiple antennas at both link ends in order to achieve increased spectral efficiency and high data…”
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    Conference Proceeding
  12. 12

    Capacity Evaluation of MIMO Antenna Systems Using Spherical Harmonics Expansion by Ximenes, L R, de Almeida, A L F

    “…Multiple input multiple output (MIMO) wireless communication systems have been intensely investigated in the past years. In order to understand the fundamental…”
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    Conference Proceeding
  13. 13

    Using MIMO Techniques to Enhance Communication Among Static and Mobile Nodes in Wireless Sensor Networks by Marinho, M. A. M., de Freitas, E. P., Lustosa da Costa, Joao Paulo C., de Almeida, A. L. F., de Sousa Junior, Rafael Timoteo

    “…Wireless sensor networks are evolving to hybridnetworks in which static and mobile sensor nodes cooperate in order to address challenging requirements imposed…”
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    Conference Proceeding
  14. 14

    Improved Data-Aided Channel Estimation in LTE PUCCH Using a Tensor Modeling Approach by da Silva, I, de Almeida, A, Cavalcanti, F, Baldemair, R, Falahati, S

    “…In 3rd. Generation Partnership Project (3GPP) Long Term Evolution (LTE) systems, when no resources has been assigned in the uplink to a given user, the control…”
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    Conference Proceeding
  15. 15

    MIMO Channel Characterization and Capacity Evaluation in an Outdoor Environment by Binelo, M, de Almeida, A L F, Medbo, J, Asplund, H, Cavalcanti, F R P

    “…In this paper, we perform an experimental MIMO wireless channel characterization in an outdoor environment. We use the data acquired during wideband channel…”
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    Conference Proceeding
  16. 16

    Tensor-Based Modeling and Processing for Channel Estimation in Two-Hop V2X MIMO Systems by Gomes, Paulo R. B., Fodor, Gabor, Freitas, Walter C., de Almeida, Andre L. F., Silva, Yuri C. B.

    “…Efficient vehicle-to-everything (V2X) communications improve traffic safety, enable autonomous driving and help to reduce environmental impacts. To achieve…”
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    Conference Proceeding
  17. 17

    A tensor decomposition approach to noninvasive atrial activity extraction in atrial fibrillation ECG by Ribeiro, L. N., Hidalgo-Munoz, A. R., Favier, G., Mota, J. C. M., de Almeida, A. L. F., Zarzoso, V.

    “…Atrial fibrillation (AF), the most common arrhythmia in adults, is still considered as the last great frontier of cardiac electrophysiology, since its…”
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    Conference Proceeding
  18. 18

    Distributed parafac based DS-CDMA blind receiver for wireless sensor networks by Kibangou, A Y, de Almeida, A L F

    “…In this paper, we consider a collaborative scheme in wireless sensor networks where the multiple access protocol is a DS-CDMA one. When the receiver is…”
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    Conference Proceeding
  19. 19

    A closed form solution to semi-blind joint symbol and channel estimation in MIMO-OFDM systems by Kefei Liu, da Costa, J. P. C. L., de Almeida, A. L. F., So, H. C.

    “…Due to the scarcity of the electromagnetic spectrum, multidimensional signaling schemes that take into account several signal dimensions such as space, time,…”
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    Conference Proceeding
  20. 20

    Fourth-order CONFAC decomposition approach for blind identification of underdetermined mixtures by de Almeida, A. L. F., Luciani, X., Comon, P.

    “…We have recently proposed a second-order method for the blind identification of underdetermined mixtures that relies on the constrained factor (CONFAC)…”
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    Conference Proceeding