Error estimation and adaptive chemical transport modeling
نویسندگان
چکیده
منابع مشابه
Systematic Error Modeling and Bias Estimation
This paper analyzes the statistic properties of the systematic error in terms of range and bearing during the transformation process. Furthermore, we rely on a weighted nonlinear least square method to calculate the biases based on the proposed models. The results show the high performance of the proposed approach for error modeling and bias estimation.
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A variety of processes of crystal growth proceeds via the gas phase. A short comparative overview on gas phase transports is given here. However, in the main we deal with the concept of Chemical Vapor Transport Reactions [1, 2]. The term “Chemical Vapor Transport” (CVT) summarizes heterogeneous reactions which show one shared feature: a condensed phase, typically a solid, has an insufficient pr...
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ژورنال
عنوان ژورنال: Meteorologische Zeitschrift
سال: 2014
ISSN: 0941-2948
DOI: 10.1127/0941-2948/2014/0572