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.
A REDUCED COMPLEXITY SNR ESTIMATOR
CANDREVA, ENZO ALBERTO;CORAZZA, GIOVANNI EMANUELE;VANELLI CORALLI, ALESSANDRO
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.File in questo prodotto:
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