Direct and fast techniques for estimating normalized second-order moments of complex processes are discussed. First, the accuracy of the direct estimate is explicitly given in terms of bias and covariance for Gaussian processes. Then, a class of estimators based on the complex invariance property is considered. Their theoretical accuracy is given for some cases of paramount interest from a computational point of view in the Gaussian case. In particular, applications in the areas of autoregressive spectrum analysis and spectral centroid estimation are presented. General analytic results and simple expressions for immediate evaluation are provided.
PERFORMANCE OF NORMALIZED CORRELATION ESTIMATORS FOR COMPLEX PROCESSES / Iacovitti, Giovanni; Cusani, Roberto. - In: IEEE TRANSACTIONS ON SIGNAL PROCESSING. - ISSN 1053-587X. - 40:1(1992), pp. 114-128. [10.1109/78.157187]
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Titolo: | PERFORMANCE OF NORMALIZED CORRELATION ESTIMATORS FOR COMPLEX PROCESSES | |
Autori: | ||
Data di pubblicazione: | 1992 | |
Rivista: | ||
Citazione: | PERFORMANCE OF NORMALIZED CORRELATION ESTIMATORS FOR COMPLEX PROCESSES / Iacovitti, Giovanni; Cusani, Roberto. - In: IEEE TRANSACTIONS ON SIGNAL PROCESSING. - ISSN 1053-587X. - 40:1(1992), pp. 114-128. [10.1109/78.157187] | |
Handle: | http://hdl.handle.net/11573/411032 | |
Appartiene alla tipologia: | 01a Articolo in rivista |