title: 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.
mesh_terms: D004582:Electronics, Medical; D004594:Electrophysiology; D008433:Mathematics; D008954:Models, Biological