An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals
An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals
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DOI：
10.3390/a5040588
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发表时间：
2012-12-01
期刊：
影响因子：
2.3
通讯作者：
Wolf, Martin
中科院分区：
文献类型：
--
作者：
Scholkmann, Felix;Boss, Jens;Wolf, Martin
本文提出了一种新的自动检测含噪周期和准周期信号峰值的方法。新的方法，称为自动多尺度为基础的峰值检测（AMPD），是基于计算和分析的局部最大值的尺度图，一个矩阵，包括规模依赖的局部最大值的发生。通过将AMPD算法应用于模拟信号和真实信号，证明了该方法的有效性。
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.