Algorithms 2012, 5(4), 588-603; doi:10.3390/a5040588
Article

An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals

Received: 3 August 2012; in revised form: 29 October 2012 / Accepted: 13 November 2012 / Published: 21 November 2012
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
Keywords: peak detection; local maxima scalogram; multiscale local maxima detection; automatic multiscale-based peak detection (AMPD) algorithm
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MDPI and ACS Style

Scholkmann, F.; Boss, J.; Wolf, M. An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals. Algorithms 2012, 5, 588-603.

AMA Style

Scholkmann F, Boss J, Wolf M. An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals. Algorithms. 2012; 5(4):588-603.

Chicago/Turabian Style

Scholkmann, Felix; Boss, Jens; Wolf, Martin. 2012. "An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals." Algorithms 5, no. 4: 588-603.

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