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: 2008 International Congress on Image and Signal Processing (CISP2008), May 27th - 30th 2008, Sanya, Hainan, China. (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)

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: Conference or workshop item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.B56 Biometrics
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: J. Harries
Date Deposited: 18 Apr 2009 11:20
Last Modified: 14 Jul 2014 08:00
Resource URI: https://kar.kent.ac.uk/id/eprint/14759 (The current URI for this page, for reference purposes)
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