Investigation of blind tip estimation.
In this work we study functions for maximum likelihood estimation in blind tip estimation. We will implement the expectation maximization (EM), the stochastic EM, and stochastic approximation EM algortithms to estimate the unknown tip geometry. To demonstrate the functionality of the algorithms we applied it to dilated artificial input signal.
Bakucz
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PTB Braunschweig Abt. 5.1, Bundesallee 100, 38116 Braunschweig, Germany.
Krüger-Sehm
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Koenders
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