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All Journal Bulletin of Electrical Engineering and Informatics
Pham Quoc Vuong
Vietnam Academy of Sciences and Technology
Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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An optimized algorithm for peak detection in noisy periodic and quasi-periodic signals Luc Tri Tuyen; Pham Quoc Vuong; Thach Thi Ninh
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3655

Abstract

This paper represents a modified version (called T-AMPD) of automatic multiscale-based peak detection (AMPD) algorithm, which was previously proposed by Scholkmann et al for peak detection of noisy periodic and quasi-periodic signals, in order to optimize the algorithm and reduce the computational cost while still maintaining the accuracy. By introducing a new parameter , the number of expected peaks, to the algorithm and some other adjustments, the T-AMPD outperforms the original algorithm in processing time. Experiments in some real-world signals show that the modified algorithm is greatly better than the original one in runtime performance. Specifically, our T-AMPD was compared to the newest version of AMPD which is available in an R programming package. As a result, our T-AMPD is 2 to 25 times faster than the original AMPD in computational time, while the accuracy remains unchanged.
Co-Authors Luc Tri Tuyen Thach Thi Ninh