有哪些信誉好的足球投注网站an efficient algorithm for automatic peak detection in noisy periodic and quasi-periodic signals一个高效的自动峰值检测算法在嘈杂的周期和准周期信号.pdfVIP
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an efficient algorithm for automatic peak detection in noisy periodic and quasi-periodic signals一个高效的自动峰值检测算法在嘈杂的周期和准周期信号
Algorithms 2012, 5, 588-603; doi: 10.3390/a5040588
OPEN ACCESS
algorithms
ISSN 1999-4893
/journal/algorithms
Article
An Efficient Algorithm for Automatic Peak Detection in Noisy
Periodic and Quasi-Periodic Signals
Felix Scholkmann *, Jens Boss and Martin Wolf
Biomedical Optics Research Laboratory, Division of Neonatology, University Hospital Zurich,
8091 Zurich, Switzerland; E-Mails: bossj@student.ethz.ch (J.B.); martin.wolf@usz.ch (M.W.)
* Author to whom correspondence should be addressed; E-Mail: felix.scholkmann@usz.ch;
Tel.: +41-(0)44-255-93-26.
Received: 3 August 2012; in revised form: 29 October 2012 / Accepted: 13 November 2012 /
Published: 21 November 2012
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
1. Introduction
The detection of peaks in signals is an important step in many signal processing applications. Up to
now, many different methods have been developed, including those based on traditional
window-threshold techniques [1–4], wa
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