Abstract / truncated to 115 words (read the full abstract)

Nowadays, many disciplines in science and engineering deal with problems for which a solution relies on knowledge about the characteristics of one or more given systems that can only be ascertained based on restricted observations. This requires the fitting of an adequately chosen model, such that it “best” conforms to a set of measured data. Depending on the context, this fitting procedure may resort to a huge amount of recorded data and abundant numerical power, or contrarily, to only a few streams of samples, which have to be processed on the fly at low computational cost. This thesis, exclusively focuses on the latter scenario. It specifically studies unexpected behaviour and reliability of the widely spread ... toggle 4 keywords

adaptive filters l2 stability convergence coupling

Information

Author
Dallinger, Robert
Institution
TU Wien
Supervisors
Publication Year
2016
Upload Date
Aug. 30, 2016

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