Arbeitspapier
Methods and algorithms for robust filtering
We discuss filtering procedures for robust extraction of a signal from noisy time series. Moving averages and running medians are standard methods for this, but they have shortcomings when large spikes (outliers) respectively trends occur. Modified trimmed means and linear median hybrid filters combine advantages of both approaches, but they do not completely overcome the difficulties. Improvements can be achieved by using robust regression methods, which work even in real time because of increased computational power and faster algorithms. Extending recent work we present filters for robust online signal extraction and discuss their merits for preserving trends, abrupt shifts and extremes and for the removal of spikes.
- Language
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Englisch
- Bibliographic citation
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Series: Technical Report ; No. 2004,44
- Subject
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Signal extraction
drift
edge
outlier
update algorithm
Zeitreihenanalyse
Robustes Verfahren
Theorie
- Event
-
Geistige Schöpfung
- (who)
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Fried, Roland
Gather, Ursula
- Event
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Veröffentlichung
- (who)
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Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
- (where)
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Dortmund
- (when)
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2004
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
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Object type
- Arbeitspapier
Associated
- Fried, Roland
- Gather, Ursula
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Time of origin
- 2004
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