A Peak-Trough Detection Algorithm Based on Momentum

  • Authors:
  • K. Harmer;G. Howells;W. Sheng;M. Fairhurst;F. Deravi

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04
  • Year:
  • 2008

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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.