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) (KAR id:14759)
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. | |
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 |
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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: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | J. Harries |
Date Deposited: | 18 Apr 2009 11:20 UTC |
Last Modified: | 05 Nov 2024 09:49 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/14759 (The current URI for this page, for reference purposes) |
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