Search Results - "Martins, Allan De M."

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.

“…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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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

“…Electroencephalography (EEG) is a fundamental tool for understanding the brain's electrical activity related to human motor activities. Brain-Computer…”
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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

“…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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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.

“…•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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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.

“…•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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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.

“…Cyclostationary analysis has several applications in communications, e.g., spectral sensing, signal parameter estimation, and modulation classification. Most…”
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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.

“…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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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.

“…•We define a new generalized similarity measure between complex random variables.•A complete deduction is presented and important properties are…”
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Corrigendum to “Cyclostationary Correntropy: Definition and applications” [Expert Systems with Applications 69 (2017) 110–117] by Fontes, Aluisio I.R., Rego, Joilson B.A., Martins, Allan de M., Silveira, Luiz F.Q., Principe, J.C.

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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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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

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

“…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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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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Probabilistic Interpretation for Correntropy with Complex Data by Guimarães, João P. F, Fontes, Aluisio I. R, Rego, Joilson B. A, Martins, Allan de M

“…Recent studies have demonstrated that correntropy is an efficient tool for analyzing higher-order statistical moments in nonGaussian noise environments…”
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Comments on Manipulability Measure in Redundant Planar Manipulators by Martins, Ad.M., Dias, A.M., Alsina, P.J.

“…In this paper we perform an analysis of the manipulability matrix of a manipulator in terms of its eigenvalues and eigenvectors (eigen-analysis), which defines…”
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