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UNIVERSITÀ DEGLI STUDI
DEL SANNIO   Benevento

Pubblicazioni di ateneo

Found 59 results
Author Titolo [ Tipo(Desc)] Anno
Filters: Author is Galdi, V.  [Clear All Filters]
Journal Article
Izzo, A., M. Liguori, C. Clemente, C. Galdi, M. DI BISCEGLIE, and J. Soraghan, "Multi-Model CFAR Detection in FOliage PENetrating SAR Images", IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2017.
Giangregorio, G.., P.. Addabbo, C. Galdi, and M. DI BISCEGLIE, "Ocean Wind Speed Estimation From the GNSS Scattered Power Function Volume", IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018.
DI BISCEGLIE, M., and C. Galdi, "Random walk based characterisation of radar backscatter from the sea surface", IEE PROCEEDINGS. RADAR, SONAR AND NAVIGATION, vol. 145, pp. 216–225, 1998.
P, C. M., C. Gommenginger, M. DI BISCEGLIE, C. Galdi, and S. M. A, "Simulation of L-Band Bistatic Returns From the Ocean Surface: A Facet Approach With Application to Ocean GNSS Reflectometry", IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, vol. 50, pp. 960–971, 2012.
DI BISCEGLIE, M., C. Galdi, and HD. Griffiths, "Statistical scattering model for high-resolution sonar images: characterisation and parameter estimation", IEE PROCEEDINGS. RADAR, SONAR AND NAVIGATION, vol. 146, pp. 264–272, 1999.
Giangregorio, G., M. DI BISCEGLIE, P. Addabbo, T. Beltramonte, S. D'Addio, and C. Galdi, "Stochastic Modeling and Simulation of Delay–Doppler Maps in GNSS-R Over the Ocean", IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, vol. 54, pp. 2056–2069, 2016.
DI BISCEGLIE, M., M. DI SANTO, C. Galdi, R. LANARI, and N. Ranaldo, "Synthetic Aperture Radar Processing with GPGPU", IEEE SIGNAL PROCESSING MAGAZINE, vol. 27, pp. 69–78, 2010.
Addabbo, P., M. DI BISCEGLIE, and C. Galdi, "The Unmixing of Atmospheric Trace Gases From Hyperspectral Satellite Data", IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, vol. 50, pp. 320–329, 2011.
Galdi, V.., A.. Vaccaro, and D.. Villacci, "Voltage regulation in MV networks with dispersed generations by a neural-based multiobjective methodology", Electric Power Systems Research, vol. 78, no. 5, pp. 785-793, 2008.

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