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Extended benchmark results for impulse response estimation
KTH, School of Electrical Engineering (EES), Fusion Plasma Physics.
2013 (English)In: 2013 IEEE 52nd Annual Conference on Decision and Control (CDC), IEEE conference proceedings, 2013, 7168-7173 p.Conference paper, Published paper (Refereed)
Abstract [en]

Recent attention has been given to the use of regularised least-squares methods for improving the quality of classical impulse response estimates from short/noisy datasets. This paper significantly augments and contextualises previously reported benchmark results by inclusion of a larger set of standard and non-standard methods in the comparison. The numerical experiments are summarised using several metrics. There is no obvious winner method.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 7168-7173 p.
Series
IEEE Conference on Decision and Control. Proceedings, ISSN 0743-1546
Keyword [en]
Control, Least squares methods, Numerical experiments, Response estimates, Impulse response
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-150984DOI: 10.1109/CDC.2013.6761026ISI: 000352223508018Scopus ID: 2-s2.0-84902354908ISBN: 978-146735717-3 (print)OAI: oai:DiVA.org:kth-150984DiVA: diva2:746375
Conference
52nd IEEE Conference on Decision and Control, CDC 2013, 10 December 2013 through 13 December 2013, Florence, Italy
Note

QC 20140912

Available from: 2014-09-12 Created: 2014-09-12 Last updated: 2015-12-08Bibliographically approved

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Citation style
  • apa
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  • Other locale
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Output format
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