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Hypothesis Testing for Nonlinearity Detection Based on an MA Model

✍ Scribed by Le Caillec, J.-M.

Book ID
119822822
Publisher
IEEE
Year
2008
Tongue
English
Weight
304 KB
Volume
56
Category
Article
ISSN
1053-587X

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## Abstract The edge detection problem in blurred and noisy 2‐D signals is dealt with. An adaptive signal processing algorithm is proposed which marks edge points according to an hypothesis test which compares the likelihoods of two models describing the local signal behaviour in the two cases of a