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Abstract
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We develop an averaging method, based on a modified Haar wavelet technique,
for identifying when transient features occur in a time signal. We call this
method the seaweed method and use it to identify different stages of bean
beetle embryo maturation. We use randomized simulations to evaluate the
seaweed method for accuracy and precision at different levels of noise. Our
results support the efficacy of the seaweed method as a means for analyzing
time-lapse photographs of bean beetle embryos and a wide variety of other time
signals.
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Keywords
wavelets, bean beetle, Callosobruchus maculatus, signal
processing, seaweed method
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Mathematical Subject Classification 2010
Primary: 65T60, 34K33, 62P10
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Milestones
Received: 23 May 2014
Revised: 16 December 2015
Accepted: 25 December 2015
Published: 11 October 2016
Communicated by Kenneth S. Berenhaut
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