Navigation auf zora.uzh.ch
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.
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.
| 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 |
| Scopus Subject Areas: | Physical Sciences > Theoretical Computer Science
Physical Sciences > Numerical Analysis Physical Sciences > Computational Theory and Mathematics Physical Sciences > Computational Mathematics |
| Language: | English |
| Date: | 2012 |
| Deposited On: | 24 Jan 2013 14:15 |
| Last Modified: | 23 Jan 2025 04:36 |
| Publisher: | MDPI Publishing |
| ISSN: | 1999-4893 |
| OA Status: | Gold |
| 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 |
Scholkmann, F