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A hierarchical approach to noise-adaptive estimation
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2010 (English)In: 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Piscataway, NJ: IEEE Communications Society, 2010, p. 161-164Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a noise-adaptive estimator for the linear model. The strategy is based on a hierarchical approach where in each step, a decreasing number of unbiased estimates for the parameter of interest is produced. In this way, the complexity is greatly reduced compared to standard estimators, like the adaptive maximum likelihood (AML) estimator. Also, since the method combines solutions to sub-problems of smaller dimensionality, the required size of the noise training data set is also reduced. As a result, the derived scheme performs better than AML for small sample support. The results are verified by simulations and show that the derived scheme is a very appropriate choice for a large class of problems with high dimensionality.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2010. p. 161-164
Series
Sensor Array and Multichannel Signal Processing. I E E E Works, ISSN 1551-2282
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-39050DOI: 10.1109/SAM.2010.5606722Scopus ID: 2-s2.0-78650120536Local ID: da418110-efd6-11df-8b36-000ea68e967bISBN: 978-1-4244-9395-1 (print)ISBN: 978-1-4244-9395-1 (electronic)OAI: oai:DiVA.org:ltu-39050DiVA, id: diva2:1012558
Conference
IEEE Sensor Array and Multichannel Signal Processing Workshop : 04/10/2010 - 07/10/2010
Note
Godkänd; 2010; 20101114 (ysko)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-07-10Bibliographically approved

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Nordenvaad, Magnus Lundberg

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf