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A Peak-Trough Detection Algorithm based on Momentum

Harmer, Karl and Howells, Gareth and Sheng, Weiguo and Fairhurst, Michael and Deravi, Farzin (2008) A Peak-Trough Detection Algorithm based on Momentum. In: Li, Daiqing and Deng, G., eds. 2008 Congress on Image and Signal Processing. IEEE, pp. 454-458. ISBN 978-0-7695-3119-9. (doi:10.1109/CISP.2008.704) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/CISP.2008.704

Abstract

This paper presents a simple, yet novel, approach to peak-trough detection using a rudimentary model of Newtonian mechanics. Based on the line-searching technique also employed in artificial neural network technology to determine global minima, the momentum is used to find both peaks and troughs of a signal. This algorithm provides a fast alternative to the traditional techniques, which uses contextual information in order to determine prominent peaks and troughs without requiring smoothing or thresholding.

Item Type: Book section
DOI/Identification number: 10.1109/CISP.2008.704
Uncontrolled keywords: detection algorithms; signal processing algorithms; shape; noise robustness; change detection algorithms; neural networks; friction; gravity; artificial neural networks; smoothing methods
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: J. Harries
Date Deposited: 18 Apr 2009 11:20 UTC
Last Modified: 17 Sep 2019 14:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14759 (The current URI for this page, for reference purposes)
Deravi, Farzin: https://orcid.org/0000-0003-0885-437X
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