PALLOTTA, LUCA

PALLOTTA, LUCA  

SCUOLA di INGEGNERIA  

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Risultati 1 - 20 di 75 (tempo di esecuzione: 0.026 secondi).
Titolo Data di pubblicazione Autore(i) File
A cognitive approach for radar receiver adaptation 1-gen-2016 Pallotta, L.; Aubry, A.; Carotenuto, V.; De Maio, A.; Farina, A.
A Cognitive Stepped Frequency Strategy for HRRP Estimation 1-gen-2017 Pallotta, L.; Carotenuto, V.; Aubry, A.; De Maio, A.; Iommelli, S.
A Feature-Based Approach for Loaded/Unloaded Drones Classification Exploiting micro-Doppler Signatures 1-gen-2020 Pallotta, L.; Clemente, C.; Raddi, A.; Giunta, G.
A geometric approach for structured radar covariance estimation 1-gen-2017 Aubry, A.; De Maio, A.; Pallotta, L.
A Geometric Approach to Covariance Matrix Estimation and its Applications to Radar Problems 1-gen-2018 Aubry, A.; De Maio, A.; Pallotta, L.
A Machine Learning-Based Approach for Audio Signals Classification using Chebychev Moments and Mel-Coefficients 1-gen-2022 Pallotta, L.; Neri, M.; Buongiorno, M.; Neri, A.; Giunta, G.
A Multi-Family GLRT for Detection in Polarimetric SAR Images 1-gen-2016 Pallotta, L.; Clemente, C.; De Maio, A.; Orlando, D.
A Multifamily GLRT for Oil Spill Detection 1-gen-2017 De Maio, A.; Orlando, D.; Pallotta, L.; Clemente, C.
A novel algorithm for radar classification based on doppler characteristics exploiting orthogonal Pseudo-Zernike polynomials 1-gen-2015 Clemente, C.; Pallotta, L.; De Maio, A.; Soraghan, J. J.; Farina, A.
A Robust Framework for Covariance Classification in Heterogeneous Polarimetric SAR Images and Its Application to L-Band Data 1-gen-2019 Pallotta, L.; De Maio, A.; Orlando, D.
A sparse learning approach to the design of radar tunable architectures with enhanced selectivity properties 1-gen-2020 Han, S.; Pallotta, L.; Huang, X.; Giunta, G.; Orlando, D.
A sparse learning based detector with enhanced mismatched signals rejection capabilities 1-gen-2020 Han, S.; Pallotta, L.; Giunta, G.; Ma, W.; Orlando, D.
A Two-Stage Detector for Operation in Outlier-Dense Scenarios 1-gen-2017 Han, S.; Huang, X.; De Maio, A.; Pallotta, L.; Iommelli, S.
Accurate Delay Estimation for Multisensor Passive Locating Systems Exploiting the Cross-Correlation Between Signals Cross-Correlations 1-gen-2022 Pallotta, L.; Giunta, G.
Adaptive Radar Detection Using Two Sets of Training Data 1-gen-2018 Carotenuto, V.; De Maio, A.; Orlando, D.; Pallotta, L.
An Approximate Regularized ML Approach to Censor Outliers in Gaussian Radar Data 1-gen-2019 Han, S.; Pallotta, L.; Carotenuto, V.; De Maio, A.; Huang, X.
An Effective Convolution Neural Network for Automatic Recognition of Analog and Digital Signal Modulations for Cognitive SDR Applications 1-gen-2022 Falcone, M. V.; Giunta, G.; Pallotta, L.
An overview on the exploitation of cognition in MIMO radar, electronic warfare, and synthetic aperture radar 1-gen-2017 Aubry, A.; Carotenuto, V.; De Maio, A.; Farina, A.; Fornaro, G.; Pallotta, L.; Pauciullo, A.
Assessing Reciprocity in Polarimetric SAR Data 1-gen-2020 Aubry, A.; Carotenuto, V.; De Maio, A.; Pallotta, L.
Automatic Target Recognition of Military Vehicles with Krawtchouk Moments 1-gen-2017 Clemente, C.; Pallotta, L.; Gaglione, D.; De Maio, A.; Soraghan, J. J.