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An efficient algorithm for automatic peak detection in noisy periodic and quasi-periodic signals


Scholkmann, F; Boss, J; Wolf, M (2012). An efficient algorithm for automatic peak detection in noisy periodic and quasi-periodic signals. Algorithms, 5(4):588-603.

Abstract

We present a new method for automatic detection of peaks in noisy periodic and quasi-periodic signals. The new method, called automatic multiscale-based peak detection (AMPD), is based on the calculation and analysis of the local maxima scalogram, a matrix comprising the scale-dependent occurrences of local maxima. The usefulness of the proposed method is shown by applying the AMPD algorithm to simulated and real-world signals.

Abstract

We present a new method for automatic detection of peaks in noisy periodic and quasi-periodic signals. The new method, called automatic multiscale-based peak detection (AMPD), is based on the calculation and analysis of the local maxima scalogram, a matrix comprising the scale-dependent occurrences of local maxima. The usefulness of the proposed method is shown by applying the AMPD algorithm to simulated and real-world signals.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Neonatology
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2012
Deposited On:24 Jan 2013 14:15
Last Modified:17 Aug 2016 07:16
Publisher:MDPI Publishing
ISSN:1999-4893
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.3390/a5040588
Official URL:http://www.mdpi.com/1999-4893/5/4/588

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