RIPANI, BARBARA
RIPANI, BARBARA
Dipartimento di Elettronica e Telecomunicazioni
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Risultati 1 - 3 di 3 (tempo di esecuzione: 0.007 secondi).
RNN BCJR: a fully trainable version of the additive BCJR algorithm
2023 Montorsi, Guido; Ripani, Barbara
A multi-sample discrete-phase BCJR algorithm for phase noise channels
2022 Ripani, Barbara; Modenini, Andrea; Montorsi, Guido
On the use of Pseudo-Noise Ranging with high-rate spectrally-efficient modulations
2021 Ripani, Barbara; Modenini, Andrea; Garello, Roberto; MAIOLINI CAPEZ, Gabriel; Montorsi, Guido
Citazione | Data di pubblicazione | Autori | File |
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RNN BCJR: a fully trainable version of the additive BCJR algorithm / Montorsi, Guido; Ripani, Barbara. - ELETTRONICO. - (2023). (Intervento presentato al convegno International Conference on Communications (ICC) tenutosi a Rome, Italy nel 28 May 2023 - 01 June 2023) [10.1109/ICC45041.2023.10279315]. | 1-gen-2023 | Montorsi, GuidoRipani, Barbara | Ripani-RNN BCJR.pdf |
A multi-sample discrete-phase BCJR algorithm for phase noise channels / Ripani, Barbara; Modenini, Andrea; Montorsi, Guido. - ELETTRONICO. - (2022). (Intervento presentato al convegno Global Communications Conference (GLOBECOM) 2022 tenutosi a Rio de Janeiro, Brazil nel 04-08 December 2022) [10.1109/GLOBECOM48099.2022.10001274]. | 1-gen-2022 | Ripani, BarbaraMontorsi, Guido + | paper.pdf; Ripani-AMulti.pdf |
On the use of Pseudo-Noise Ranging with high-rate spectrally-efficient modulations / Ripani, Barbara; Modenini, Andrea; Garello, Roberto; MAIOLINI CAPEZ, Gabriel; Montorsi, Guido. - ELETTRONICO. - 1:(2021), pp. 1-7. (Intervento presentato al convegno Proceedings of the 16th International Conference on Space Operations tenutosi a Cape Town, South Africa nel 3 - 5 May 2021). | 1-gen-2021 | Barbara RipaniRoberto GarelloGabriel Maiolini CapezGuido Montorsi + | SpaceOps-2021,8,x1605.pdf |