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Change Detection Using Wavelets in Solution Monitoring Data for Nuclear Safeguards
Los Alamos National Laboratory, Los Alamos, NM 87545, USA
* Author to whom correspondence should be addressed.
Received: 24 April 2013; in revised form: 17 May 2013 / Accepted: 22 May 2013 / Published: 18 June 2013
Abstract: Wavelet analysis is known to be a good option for change detection in many contexts. Detecting changes in solution volumes that are measured with both additive and relative error is an important aspect of safeguards for facilities that process special nuclear material. This paper qualitatively compares wavelet-based change detection to a lag-one differencing option using realistic simulated solution volume data for which the true change points are known. We then show quantitatively that Haar wavelet-based change detection is effective for finding the approximate location of each change point, and that a simple piecewise linear optimization step is effective to refine the initial wavelet-based change point estimate.
Keywords: change detection; Haar wavelet; piecewise linear
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MDPI and ACS Style
Longo, C.; Burr, T.; Myers, K. Change Detection Using Wavelets in Solution Monitoring Data for Nuclear Safeguards. Axioms 2013, 2, 271-285.
Longo C, Burr T, Myers K. Change Detection Using Wavelets in Solution Monitoring Data for Nuclear Safeguards. Axioms. 2013; 2(2):271-285.
Longo, Claire; Burr, Tom; Myers, Kary. 2013. "Change Detection Using Wavelets in Solution Monitoring Data for Nuclear Safeguards." Axioms 2, no. 2: 271-285.