Literature DB >> 6201343

Weighted averaging--theory and application to electric response audiometry.

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

Abstract

A weighted averaging technique has been developed to overcome the shortcomings of conventional, unweighted averaging in the case of nonstationary 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.

Entities:  

Mesh：

Year:  1984        PMID： 6201343     DOI： 10.1016/0013-4694(84)90078-6

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN： 0013-4694


  9 in total

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2.  Measurement of signal and noise characteristics in ongoing auditory brainstem response averaging.

Authors:  O Ozdamar; R E Delgado
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4.  Possibilities and limitations of weighted averaging.

Authors:  B Lütkenhöner; M Hoke; C Pantev
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

5.  Rapid measurement of somatosensory evoked potential response to cerebral artery occlusion.

Authors:  P Poon; R C Koehler; N V Thakor
Journal:  Med Biol Eng Comput       Date:  1995-05       Impact factor: 2.602

6.  Estimation of auditory steady-state responses based on the averaging of independent EEG epochs.

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7.  Supra-threshold perception and neural representation of tones presented in noise in conditions of masking release.

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8.  The Spectral Extent of Phasic Suppression of Loudness and Distortion-Product Otoacoustic Emissions by Infrasound and Low-Frequency Tones.

Authors:  Carlos Jurado; Man Yui Pat Chow; Ka Man Lydia Leung; Marcelo Larrea; Juan Vizuete; Alain de Cheveigné; Torsten Marquardt
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9.  Coronary artery disease diagnosis based on exercise electrocardiogram indexes from repolarisation, depolarisation and heart rate variability.

Authors:  R Bailón; J Mateo; S Olmos; P Serrano; J García; A del Río; I J Ferreira; P Laguna
Journal:  Med Biol Eng Comput       Date:  2003-09       Impact factor: 3.079
  9 in total

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