The class of generalized Hampel filters

Ronald K. Pearson, Yrjö Neuvo, Jaakko Astola, Moncef Gabbouj

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

24 Citations (Scopus)

Abstract

The standard median filter has only one tuning parameter - the width of the moving window on which it is based - and this has led to the development of a number of extremely useful extensons, including the recursive median filter, weighted median filters, and recursive weighted median filters. The Hampel filter is a member of the class of decision filters that, as we note here, may be viewed as another generalization of the median filter. This paper exploits this relationship, defining and briefly exploring the class of generalized Hampel filters, obtained by applying the median filter extensions listed above.

Original languageEnglish
Title of host publication2015 23rd European Signal Processing Conference, EUSIPCO 2015
PublisherIEEE
Pages2501-2505
Number of pages5
ISBN (Electronic)9780992862633
DOIs
Publication statusPublished - 22 Dec 2015
MoE publication typeA4 Article in a conference publication
EventEuropean Signal Processing Conference - Nice, France
Duration: 31 Aug 20154 Sep 2015
Conference number: 23

Conference

ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO
Country/TerritoryFrance
CityNice
Period31/08/201504/09/2015

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