| Literature DB >> 18681704 |
P Bakucz1, R Krüger-Sehm, L Koenders.
Abstract
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.Entities:
Year: 2008 PMID： 18681704 DOI： 10.1063/1.2901616
Source DB: PubMed Journal: Rev Sci Instrum ISSN： 0034-6748 Impact factor: 1.523