Search Results - "Martins, Allan M"

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  1. 1

    Complex Correntropy: Probabilistic Interpretation and Application to Complex-Valued Data by Guimaraes, Joao P. F., Fontes, Aluisio I. R., Rego, Joilson B. A., de M Martins, Allan, Principe, Jose C.

    Published in IEEE signal processing letters (01-01-2017)
    “…Recent studies have demonstrated that correntropy is an efficient tool for analyzing higher order statistical moments in non-Gaussian noise environments…”
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    Journal Article
  2. 2

    Electroencephalography Signal Analysis for Human Activities Classification: A Solution Based on Machine Learning and Motor Imagery by de Brito Guerra, Tarciana C, Nóbrega, Taline, Morya, Edgard, de M Martins, Allan, de Sousa, Jr, Vicente A

    Published in Sensors (Basel, Switzerland) (26-04-2023)
    “…Electroencephalography (EEG) is a fundamental tool for understanding the brain's electrical activity related to human motor activities. Brain-Computer…”
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    Journal Article
  3. 3

    An adaptive kernel width convex combination method for maximum correntropy criterion by Fontes, Aluisio I. R., Linhares, Leandro L. S., F. Guimarães, João P., Silveira, Luiz F. Q., Martins, Allan M.

    Published in Journal of the Brazilian Computer Society (01-12-2021)
    “…Recently, the maximum correntropy criterion (MCC) has been successfully applied in numerous applications regarding nonGaussian data processing. MCC employs a…”
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    Journal Article
  4. 4

    Performance evaluation of the maximum complex correntropy criterion with adaptive kernel width update by Aquino, Manoel B. L., F. Guimarães, João P., Linhares, Leandro L. S., Fontes, Aluísio I. R., Martins, Allan M.

    “…The complex correntropy is a recently defined similarity measure that extends the advantages of conventional correntropy to complex-valued data. As in the…”
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    Journal Article
  5. 5

    Complex Correntropy Applied to a Compressive Sensing Problem in an Impulsive Noise Environment by Guimaraes, Joao P. F., Da Silva, Felipe B., Fontes, Aluisio I. R., Von Borries, Ricardo, De M. Martins, Allan

    Published in IEEE access (2019)
    “…Correntropy is a similarity function capable of extracting high-order statistical information from data. It has been used in different kinds of applications as…”
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    Journal Article
  6. 6

    Performance evaluation of the correntropy coefficient in automatic modulation classification by Fontes, Aluisio I.R., de M. Martins, Allan, Silveira, Luiz F.Q., Principe, J.C.

    Published in Expert systems with applications (01-01-2015)
    “…•We propose the direct use of the correntropy for modulation format recognition.•We investigate the influence of kernel size on the performance of the…”
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    Journal Article
  7. 7

    Cyclostationary correntropy: Definition and applications by Fontes, Aluisio I.R., Rego, Joilson B.A., Martins, Allan de M., Silveira, Luiz F.Q., Principe, J.C.

    Published in Expert systems with applications (01-03-2017)
    “…•We propose a new mathematical tool for the higher-order cyclostationary analysis.•We define the Cyclic Correntropy Function (CCF) of random process.•We…”
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    Journal Article
  8. 8

    Automatic Modulation Classification Architectures Based on Cyclostationary Features in Impulsive Environments by Camara, Tales V. R. O., Lima, Arthur D. L., Lima, Bruno M. M., Fontes, Aluisio I. R., Martins, Allan De M., Silveira, Luiz F. Q.

    Published in IEEE access (2019)
    “…Cyclostationary analysis has several applications in communications, e.g., spectral sensing, signal parameter estimation, and modulation classification. Most…”
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    Journal Article
  9. 9

    Circular Correntropy: Definition and Application in Impulsive Noise Environments by Aquino, Manoel B. L., Guimaraes, Joao P. F., Fontes, Aluisio I. R., Linhares, Leandro L. S., Rego, Joilson B. A., Martins, Allan De M.

    Published in IEEE access (2022)
    “…Circular statistics has been applied to several areas of knowledge in which the input data is circular or directional. Noisy measurements are still a problem…”
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    Journal Article
  10. 10

    NARX Model Identification Using Correntropy Criterion in the Presence of Non-Gaussian Noise by Araújo, Ícaro B. Q., Guimarães, João P. F., Fontes, Aluísio I. R., Linhares, Leandro L. S., Martins, Allan M., Araújo, Fábio M. U.

    “…In past years, the system identification area has emphasized the identification of nonlinear dynamic systems. In this field, polynomial nonlinear…”
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    Journal Article
  11. 11

    Complex correntropy function: Properties, and application to a channel equalization problem by Guimarães, João P.F., Fontes, Aluisio I.R., Rego, Joilson B.A., Martins, Allan de M., Principe, José C.

    Published in Expert systems with applications (01-10-2018)
    “…•We define a new generalized similarity measure between complex random variables.•A complete deduction is presented and important properties are…”
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    Journal Article
  12. 12

    Complex Correntropy Induced Metric Applied to Compressive Sensing with Complex-Valued Data by Guimaraes, Joao P. F., Fontes, Aluisio I. R., da Silva, Felipe B., de M. Martins, Allan, Borries, Ricardo von

    “…The correntropy induced metric (CIM) is a well- defined metric induced by the correntropy function and has been applied to different problems in signal…”
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    Conference Proceeding
  13. 13
  14. 14

    Variance fluctuations in nonstationary time series: a comparative study of music genres by Jennings, Heather D, Ivanov, Plamen Ch, M. Martins, Allan de, da Silva, P.C, Viswanathan, G.M

    Published in Physica A (15-05-2004)
    “…An important problem in physics concerns the analysis of audio time series generated by transduced acoustic phenomena. Here, we develop a new method to…”
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    Journal Article
  15. 15

    Retail sales forecasting for a Brazilian supermarket chain: an empirical assessment by De Almeida, Fernanda M., Martins, Allan M., Nunes, Marcus A., Bezerra, Leonardo C.T.

    “…Time series forecasting is a consolidated, broadly used approach in several fields, such as finance and industry. Retail can also benefit from forecasting in…”
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    Conference Proceeding
  16. 16

    Controlling epidemic diseases based only on social distancing level by Dias, Samaherni M, Queiroz, Kurios I. P. de M, Martins, Allan de M

    Published 16-05-2020
    “…The World Health Organization (WHO) made the assessment that COVID-19 can be characterized as a pandemic on March 11, 2020. To the COVID-19 outbreak, there is…”
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    Journal Article
  17. 17

    Performance evaluation of the maximum correntropy criterion in identification systems by Guimaraes, Joao P. F., Fontes, Aluisio I. R., Rlgo, Joilson B. A., Silveira, Luiz F. Q., Martins, Allan M.

    “…The System identification explores ways to obtain mathematical models of an unknown system. However, as a result from the intrinsic random nature of system or…”
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    Conference Proceeding
  18. 18

    Planar target following control scheme based on path generation for nonholonomic terrestrial robots by Martins, Allan M., Alsina, Pablo J., Pereira, Rafael C.

    “…This paper addresses the problem of controlling the posture of a dual wheeled mobile terrestrial robot, with movement constraints with the objective of detect…”
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    Conference Proceeding
  19. 19

    Data driven monitoring and 3D visualization for hydro refining industrial processes by Silva, Diego R. C., Martins, Allan M.

    “…This paper addresses the issue of monitoring and diagnosis on hydro refining industrial processes. The main contribution in this work is the use of a 3D model…”
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    Conference Proceeding
  20. 20

    Clustering using neural networks and Kullback-Leibler divergency by Martins, Ade.M., Neto, A.D.D., de Melo, J.D., Costa, J.A.F.

    “…In this work we develop a clustering algorithm based on Kullback-Leibler divergence as the dissimilarity measurement. That measure is used with an algorithm…”
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    Conference Proceeding