ESA S^3 and Overall Winner of the 2017 Copernicus Masters Competition
FSSCat is an innovative mission concept consisting of two federated 6U Cubesats carrying a dual microwave payload (a GNSS-Reflectometer and a L-band radiometer with RFI detection/mitigation), and am hyperspectral optical payload to measure soil moisture, ice extent, and ice thickness, and to detect melting ponds over ice. It also includes a radio/optical inter-satellite links test techniques for satellite federations. FSSCat can be the precursor of a constellation of federated small satellites for Earth observation achieving high temporal resolution and moderate spatial resolution in a cost-effective manner.
GRECO software for Radar Cross Section (RCS) computation
Home-developed commercial software for computation of complex targets RCS using Physical Optics, Ray Tracing and Physical Theory of Diffraction high-frequency techniques. Very fast computation compared with competing software
Benvinguts a TSC
El departament de Teoria del Senyal i Comunicacions (TSC) de la Universitat Politècnica de Catalunya (UPC) realitza recerca i docència en l'àmbit de la teoria, la tecnologia i l'enginyeria de les telecomunicacions i les seves aplicacions.
Actualitat UPC
Notícies
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Títol de la tesi: "Multilingual and Cross-Lingual Machine Reading Comprehension in Few-Resource Settings: Synthetic Data, Cross-Lingual Transfer, and Domain-Specific Evaluation"
Lectura Tesi Doctoral - CASIMIRO PIO CARRINO -
Títol de la tesi: "Robust and Data-Efficient End-to-End Speech Translation: Segmentation, Cross-Modal Alignment, and Prosody-Aware Evaluation"
Lectura Tesi Doctoral - IOANNIS TSIAMAS -
Títol de la tesi: "Machine Learning-based Random Access Techniques for Massive Connectivity"
Lectura Tesi Doctoral - MUHAMMAD AWAIS JADOON -
Títol de la tesi: "Multi-Temporal Polarimetric InSAR Deformation Monitoring Considering Spatiotemporal Scattering Variability"
Lectura Tesi Doctoral - YAOGANG CHEN -
Títol de la tesi: "Physically consistent wireless communications with statistical channel state information"
Lectura Tesi Doctoral - ANIOL MARTÍ ESPELT
