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An application of myriad M-estimator for robust weighted averaging

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The method of signal averaging is such technique that allows the repeated or periodic waveforms which are contaminated by noise to be enhanced. The most often used operation for averaging is the arithmetic averaging and its different variations. Unfortunately the mean operator is sensitive for outliers. In this work the well known myriad M-estimator is applied for averaging. The myriad weighted averaging allows to suppress the impulsive type of noise. In order to evaluate the proposed method, artificial impulsive noise is generated with using the symmetric α-stable distributions. The impulsive noise component is added to the deterministic signal with known value of geometric signal-to-noise ratio (GSNR) which is equivalent of ordinary SNR. The experiments show usefulness of the proposed method for weighted averaging of periodic signals like ECG signal.

Original languageEnglish
Title of host publicationMan-Machine Interactions 3
EditorsAleksandra Gruca, Tadeusz Czachórski, Stanisław Kozielski, Tadeusz Czachórski
PublisherSpringer Verlag
Pages265-272
Number of pages8
ISBN (Electronic)9783319023083
DOIs
Publication statusPublished - 2014
Event3rd International Conference on Man-Machine Interactions, ICMMI 2013 - Brenna, Poland
Duration: 22 Oct 201325 Oct 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume242
ISSN (Print)2194-5357

Conference

Conference3rd International Conference on Man-Machine Interactions, ICMMI 2013
Country/TerritoryPoland
CityBrenna
Period22/10/1325/10/13

Keywords

  • Myriad
  • Outliers
  • Weighted averaging

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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