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Castro do Amaral, G. (author), Calliari, Felipe (author), Lunglmayr, Michael (author)Trend break detection is a fundamental problem that materializes in many areas of applied science, where being able to identify correctly, and in a timely manner, trend breaks in a noisy signal plays a central role in the success of the application. The linearized Bregman iterations algorithm is one of the methodologies that can solve such a...journal article 2020
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Calliari, Felipe (author), Castro do Amaral, G. (author), Lunglmayr, Michael (author)Detection of level shifts in a noisy signal, or trend break detection, is a problem that appears in several research fields, from biophysics to optics and economics. Although many algorithms have been developed to deal with such a problem, accurate and low-complexity trend break detection is still an active topic of research. The Linearized...journal article 2020