Michael Lunglmayr, Yuneisy Garcia Guzman, Felipe Calliari, Gustavo C. Amaral,
"Smooth Step Detection"
, in Moreno-Diaz, Roberto and Pichler, Franzand Quesada-Arencibia, Alexis: Computer Aided Systems Theory -- EUROCAST 2022, Springer Nature Switzerland, Cham, Seite(n) 303--310, 2022, ISBN: 978-3-031-25312-6
Original Titel:
Smooth Step Detection
Sprache des Titels:
Englisch
Original Buchtitel:
Computer Aided Systems Theory -- EUROCAST 2022
Original Kurzfassung:
We investigate the detection of smooth steps in a measured signal using an algorithm based on linearized Bregman iterations (LBI). Such smooth steps occur when a trend break does not occur abruptly but gradually over multiple samples. We extend the detection algorithm by an approximate deconvolution add-on that enables reliable step detection while even allowing reducing the number of iterations of the LBI algorithm. We present simulation results in the context of fiber fault detection demonstrating the detection performance that is achievable with this combined approach, allowing reducing the required number of iterations by approximately 40%.
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