Weighted averaging - theory and application to electric response audiometry

M. Hoke, B. Ross, R. Wickesberg, B. Lütkenhöner

Research output: Contribution to journalArticlepeer-review

Abstract

A weighted averaging technique has been developed to overcome the shortcomings of conventional, unweighted averaging in the case of non-stationary noise. The technique is based on the linear least-mean-square estimate of a periodic signal in a simple model of non-stationary noise. This estimate weights each recorded epoch according to the magnitude of the noise within the epoch. In the estimation of a known signal, the weighted averaging procedure yielded smaller root-mean-square errors in comparison with the normal unweighted average. The weighted averaging procedure offers many advantages over conventional averaging or averaging with automatic gain control preamplifiers.

Original languageEnglish (US)
Pages (from-to)484-489
Number of pages6
JournalElectroencephalography and Clinical Neurophysiology
Volume57
Issue number5
DOIs
StatePublished - May 1984
Externally publishedYes

ASJC Scopus subject areas

  • Neuroscience(all)
  • Clinical Neurology

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