LIMITES NO DESEMPENHO DA ESTIMAÇÃO DE PARÂMETROS DE UM PROCESSO ALEATÓRIO / PERFORMANCE BOUNDS ON ESTIMATION OF RANDOM PROCESS PARAMETERS

AUTOR(ES)
DATA DE PUBLICAÇÃO

1973

RESUMO

This work presents one of the possible approaches of evaluating the parameter estimation performance. This approach is based on the determination of lover bounds for estimate mean square error. The Cramér-Rao and Ziv-Zakai bounds are studied mainly in the case of gaussian random process parameter estimation. The results are applied as an example to the estimation of the power spectral density parameters of a random process. A simple rational model is used to represent this spectral density.

ASSUNTO(S)

parameter estimation estimacao de parametros

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