This paper presents a novel reduced complexity SNR estimator, whose performances are comparable with the Maximum-Likelihood estimator while saving one half of the floating point multiplications and one third of the floating point sums. A detailed statistical description of the estimate, as well as simulation results, are provided.
Titolo: | A REDUCED COMPLEXITY SNR ESTIMATOR | |
Autore/i: | CANDREVA, ENZO ALBERTO; CORAZZA, GIOVANNI EMANUELE; VANELLI CORALLI, ALESSANDRO | |
Autore/i Unibo: | ||
Anno: | 2009 | |
Titolo del libro: | Proceedings of the 27th International Communication Satellite Systems Conference, ICSSC 2009 | |
Abstract: | This paper presents a novel reduced complexity SNR estimator, whose performances are comparable with the Maximum-Likelihood estimator while saving one half of the floating point multiplications and one third of the floating point sums. A detailed statistical description of the estimate, as well as simulation results, are provided. | |
Data prodotto definitivo in UGOV: | 16-dic-2009 | |
Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
File in questo prodotto:
Eventuali allegati, non sono esposti
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.