Open AccessRunning wavelet archetype: time–frequency ensemble averaging requiring no fiducial points
Author(s) -
Addison P.S.
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.0821
Subject(s) - wavelet , fiducial marker , signal (programming language) , algorithm , signal averaging , wavelet transform , mathematics , computer science , artificial intelligence , pattern recognition (psychology) , digital signal processing , signal transfer function , analog signal , programming language , computer hardware
A novel method of signal averaging within the wavelet transform time–frequency plane is presented. This running wavelet archetype technique uses the inherent scale‐dependent periodicity of the wavelet function within the averaging process, thus removing the requirement for the identification of fiducial points which is often the main cause of errors in traditional methods. The technique is illustrated using a synthetic signal and in its application to the detection of a cardiac pulse component in a noisy photoplethysmographic signal.