Zobrazeno 1 - 10
of 166
pro vyhledávání: '"Cicone, Antonio"'
Autor:
Palma, Francesco, Martucci, Matteo, Neubüser, Coralie, Sotgiu, Alessandro, Follega, Francesco Maria, Ubertini, Pietro, Bazzano, Angela, Rodi, James, Ammendola, Roberto, Badoni, Davide, Bartocci, Simona, Battiston, Roberto, Beolè, Stefania, Bertello, Igor, Burger, William Jerome, Campana, Donatella, Cicone, Antonio, Cipollone, Piero, Coli, Silvia, Conti, Livio, Contin, Andrea, Cristoforetti, Marco, D'Angelo, Giulia, De Angelis, Fabrizio, De Donato, Cinzia, De Santis, Cristian, Diego, Piero, Di Luca, Andrea, Fiorenza, Emiliano, Gebbia, Giuseppe, Iuppa, Roberto, Lega, Alessandro, Lolli, Mauro, Martino, Bruno, Masciantonio, Giuseppe, Mergè, Matteo, Mese, Marco, Morbidini, Alfredo, Nozzoli, Francesco, Nuccilli, Fabrizio, Oliva, Alberto, Osteria, Giuseppe, Palmonari, Federico, Panico, Beatrice, Papini, Emanuele, Parmentier, Alexandra, Perciballi, Stefania, Perfetto, Francesco, Perinelli, Alessio, Picozza, Piergiorgio, Piersanti, Mirko, Pozzato, Michele, Rebustini, Gianmaria, Recchiuti, Dario, Ricci, Ester, Ricci, Marco, Ricciarini, Sergio Bruno, Russi, Andrea, Sahnoun, Zouleikha, Savino, Umberto, Scotti, Valentina, Shen, Xuhui, Sparvoli, Roberta, Tofani, Silvia, Vertolli, Nello, Vilona, Veronica, Vitale, Vincenzo, Zannoni, Ugo, Zeren, Zhima, Zoffoli, Simona, Zuccon, Paolo
In this paper we report the detection of five strong Gamma-Ray Bursts (GRBs) by the High-Energy Particle Detector (HEPD-01) mounted on board the China Seismo-Electromagnetic Satellite (CSES-01), operational since 2018 on a Sun-synchronous polar orbit
Externí odkaz:
http://arxiv.org/abs/2310.16670
Time-frequency analysis is an important and challenging task in many applications. Fourier and wavelet analysis are two classic methods that have achieved remarkable success in many fields. However, they also exhibit limitations when applied to nonli
Externí odkaz:
http://arxiv.org/abs/2309.04782
RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network
The decomposition of non-stationary signals is an important and challenging task in the field of signal time-frequency analysis. In the recent two decades, many signal decomposition methods led by the empirical mode decomposition, which was pioneered
Externí odkaz:
http://arxiv.org/abs/2307.01725
The analysis of the time-frequency content of a signal is a classical problem in signal processing, with a broad number of applications in real life. Many different approaches have been developed over the decades, which provide alternative time-frequ
Externí odkaz:
http://arxiv.org/abs/2205.15702
Autor:
Rogalski, Mikolaj, Pielach, Mateusz, Cicone, Antonio, Zdankowski, Piotr, Stanaszek, Luiza, Drela, Katarzyna, Patorski, Krzysztof, Lukomska, Barbara, Trusiak, Maciej
Retrieving object phase from the optical fringe pattern is a critical task in quantitative phase imaging and often requires appropriate image preprocessing (background and noise minimization), especially when retrieving phase from the single-shot fri
Externí odkaz:
http://arxiv.org/abs/2204.03392
IRCNN: A novel signal decomposition approach based on iterative residue convolutional neural network
Publikováno v:
In Pattern Recognition November 2024 155
The Iterative Filtering method is a technique aimed at the decomposition of non-stationary and non-linear signals into simple oscillatory components. This method, proposed a decade ago as an alternative technique to the Empirical Mode Decomposition,
Externí odkaz:
http://arxiv.org/abs/2111.11741
Autor:
Barbarino, Giovanni, Cicone, Antonio
Publikováno v:
Barbarino, G., Cicone, A. Stabilization and variations to the adaptive local iterative filtering algorithm: the fast resampled iterative filtering method. Numer. Math. (2024)
Non-stationary signals are ubiquitous in real life. Many techniques have been proposed in the last decades which allow decomposing multi-component signals into simple oscillatory mono-components, like the groundbreaking Empirical Mode Decomposition t
Externí odkaz:
http://arxiv.org/abs/2111.02764
Publikováno v:
In Applied and Computational Harmonic Analysis July 2024 71
Autor:
Papini, Emanuele, Cicone, Antonio, Franci, Luca, Piersanti, Mirko, Landi, Simone, Hellinger, Petr, Verdini, Andrea
Spatiotemporal properties of two-dimensional (2D) Hall-magnetohydrodynamic turbulence at intermediate plasma $\beta=2$ are studied by means of Fast Iterative Filtering, a new technique for the decomposition of nonstationary nonlinear signals. Results
Externí odkaz:
http://arxiv.org/abs/2107.03843