Template Matching and Change Point Detection by M-Estimation

We consider the fundamental problem of matching a template to a signal. We do so by M-estimation, which encompasses procedures that are robust to gross errors (i.e., outliers). Using standard results from empirical process theory, we derive the convergence rate and the asymptotic distribution of the...

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Veröffentlicht in:	IEEE transactions on information theory 2022-01, Vol.68 (1), p.423-447
Hauptverfasser:	Arias-Castro, Ery, Zheng, Lin
Format:	Artikel
Sprache:	eng
Schlagworte:	change point detection Convergence empirical processes M-estimation Matched filter Maximum likelihood estimation minimax optimality Minimax technique Noise measurement scan statistics Shape signal alignment Signal processing Task analysis Template matching
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