Estimation of signal and noise spectra by special averaging techniques with application to a posteriori "Wiener" filtering.

Abstract:

:This paper deals with the problem of separating the spectra of signal and noise in ensembles where the signal can be considered as an invariant component and the noise as a stationary additive background. Several methods are discussed and compared on the basis of a statistical analysis of the first two moments of the estimators for signal and noise spectra. As a consequence a procedure is proposed which provides a flexible compromise between estimation accuracy and computational effort. The application of this procedure to a posteriori "Wiener" filtering is compared with a more common, but time consuming, technique.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

de Weerd JP,Uyen GJ,Johannesma PI,Martens WL

doi

10.1007/BF00337392

subject

Has Abstract

pub_date

1979-03-19 00:00:00

pages

153-64

issue

3

eissn

0340-1200

issn

1432-0770

journal_volume

32

pub_type

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