Search Results - "Romano, M.T."

284 Deciphering the pathogenesis of central centrifugal cicatricial alopecia by Malki, L., Sarig, O., Romano, M.T., Mechin, M.C., Shomron, N., Simon, M., McMichael, A., Dlova, N., Betz, R.C., Sprecher, E.

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Short- and long-term therapeutic efficacy of nutritional therapy and corticosteroids in paediatric Crohn's disease by Berni Canani, R., Terrin, G., Borrelli, O., Romano, M.T., Manguso, F., Coruzzo, A., D’Armiento, F., Romeo, E.F., Cucchiara, S.

“…Comparative data on the therapeutic efficacy of different enteral nutrition formulas and corticosteroids to obtain clinical remission and to induce mucosal…”
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Diagnostic value of faecal calprotectin in paediatric gastroenterology clinical practice by Berni Canani, R., Rapacciuolo, L., Romano, M.T., Tanturri de Horatio, L., Terrin, G., Manguso, F., Cirillo, P., Paparo, F., Troncone, R.

“…Background. Faecal calprotectin (FC) is a new marker of intestinal inflammation. Data on FC in paediatric gastroenterology clinical practice are still scarce…”
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Direction-of-Arrival Estimation Through Exact Continuous ℓ2,0-Norm Relaxation by Soubies, Emmanuel, Chinatto, Adilson, Larzabal, Pascal, Romano, Joao M. T., Blanc-Feraud, Laure

“…On-grid based direction-of-arrival (DOA) estimation methods rely on the resolution of a difficult group-sparse optimization problem that involves the…”
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Exploring bounded component analysis using an ℓ∞ norm criterion by Brotto, Renan D.B., Nose-Filho, Kenji, Romano, João M.T.

“…In this paper we propose a new criterion for the Blind Source Separation (BSS) of antisparse bounded sources, based on the sum of the ℓ∞-norm of the sources…”
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Algorithms for sparse multichannel blind deconvolution by Nose-Filho, Kenji, Lopes, Renato, Brotto, Renan D. B., Senna, Thonia C., Romano, Joao M. T.

“…In this paper we present two algorithms for sparse multichannel blind deconvolution. The first algorithm is based on a cascade of a forward and a backward…”
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The Compression of Electric Signal Waveforms for Smart Grids: State of the Art and Future Trends by Tcheou, Michel P., Lovisolo, Lisandro, Ribeiro, Moises V., da Silva, Eduardo A. B., Rodrigues, Marco A. M., Romano, Joao M. T., Diniz, Paulo S. R.

“…In this paper, we discuss the compression of waveforms obtained from measurements of power system quantities and analyze the reasons why its importance is…”
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Adaptive Prediction of Financial Time-Series for Decision-Making Using A Tensorial Aggregation Approach by Campello, Betania S. C., Duarte, Leonardo T., Romano, Joao M. T.

“…Economic and financial decision-making may cause a significant impact on government, society, and industries. Due to the increasing volume of data, decision…”
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On ℓp -norm sparse blind deconvolution by Nose-Filho, Kenji, Romano, João M. T.

“…In this work, we demonstrate that, under some hypothesis, the ℓ p -norms can be seen as contrast functions for the blind deconvolution of sparse signals. This…”
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Adaptive sparse linear prediction: A promising tool for blind deconvolution by Nose-Filho, Kenji, Romano, Joao M. T.

“…Linear prediction is a fundamental theme in signal processing, due to its theoretical relevance and the wide range of applications, which include…”
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Modified Kalman Filters for Channel Estimation in Orthogonal Space-Time Coded Systems by Loiola, M. B., Lopes, R. R., Romano, J. M. T.

“…We derive and analyze two modified Kalman channel estimators (KCE) for time-varying, flat, spatially correlated MIMO channels in systems employing orthogonal…”
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Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures by Duarte, L. T., Suyama, R., Rivet, B., Attux, R., Romano, J. M. T., Jutten, C.

“…In this paper, we address the problem of blind compensation of nonlinear distortions. Our approach relies on the assumption that the input signal is…”
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Application of Blind Source Separation Methods to Ion-Selective Electrode Arrays in Flow-Injection Analysis by Duarte, Leonardo T., Romano, Joao M. T., Jutten, Christian, Chumbimuni-Torres, Karin Y., Kubota, Lauro T.

“…As shown recently, the interference problem typical of ion-selective electrodes can be dealt with via smart arrays adjusted by blind source separation methods…”
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Chaos-based communication systems in non-ideal channels by Eisencraft, M., Fanganiello, R.D., Grzybowski, J.M.V., Soriano, D.C., Attux, R., Batista, A.M., Macau, E.E.N., Monteiro, L.H.A., Romano, J.M.T., Suyama, R., Yoneyama, T.

“…► Chaos-based communication systems present unsatisfactory bit error rate in non-ideal channels. ► Strategies for circumventing band-limitation, noise and…”
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Chaotic convergence of the decision-directed blind equalization algorithm by Soriano, Diogo C., Nadalin, Everton Z., Suyama, Ricardo, Romano, João M.T., Attux, Romis

“…► The dynamical behavior of the decision-directed equalization algorithm is analyzed. ► The algorithm is potentially capable of exhibiting limit-cycles or even…”
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An improved method for signal processing and compression in power quality evaluation by Ribeiro, M.V., Romano, J.M.T., Duque, C.A.

“…This paper introduces a new waveform coding technique, based on wavelet transform, for power quality monitoring purposes. The proposed enhanced data…”
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Blind separation of convolutive mixtures over Galois fields by Fantinato, Denis G., Silva, Daniel G., Nadalin, Everton Z., Attux, Romis, Romano, Joao M. T., Neves, Aline, Montalvao, Jugurta

“…The efforts of Yeredor, Gutch, Gruber and Theis have established a theory of blind source separation (BSS) over finite fields that can be applied to linear and…”
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Signal recovery in PDM optical communication systems employing independent component analysis by Rosa, E. S., Duarte, L. T., Romano, J. M. T., Suyama, R.

“…There is a growing interest in employing digital signal processing methods to compensate the distortions typical of the next generation optical systems. For…”
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Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization by Pelegrina, Guilherme D., Brotto, Renan D. B., Duarte, Leonardo T., Attux, Romis, Romano, Joao M. T.

“…In dimensionality reduction problems, the adopted technique may produce disparities between the representation errors of different groups. For instance, in the…”
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Source separation of baseband signals in Post-Nonlinear mixtures by Duarte, L. T., Jutten, C., Rivet, B., Suyama, R., Attux, R., Romano, J. M. T.

“…Usually, source separation in Post-Nonlinear (PNL) models is achieved via one-stage methods, i.e. the two parts (linear and nonlinear) of a PNL model are dealt…”
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