Noise Parameter Estimation from Quantized Data

In this paper, the parametric estimation of additive white Gaussian noise is considered, when available data are obtained from a quantized noisy stimulus. The Cramer-Rao lower bound is derived, and the statistically efficiency of a maximum likelihood parametric estimator is discussed, along with the estimation algorithm proposed in IEEE standard IEEE 1241