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EFFECT OF NORMALIZATION OF EIGENVECTORS ON THE PAST AND RP ALGORITHMS FOR PCA
Responsible organisation
2005 (English)Conference paper, (Refereed) Published
Abstract [en]

This paper investigates the effect of incorporating normali-zation of the eigenvectors between iterations in the PAST and RP algorithms for principal component analysis (PCA). In addition, an algorithm denoted as exact eigendecomposi-tion (EE) is proposed for PCA. The algorithms are compared for different configurations using Monte Carlo simulations. Simulation results show that EE has the best performance and that normalization may be used for improving PAST and RP.

Place, publisher, year, edition, pages
Antalya, 2005.
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-9925Local ID: oai:bth.se:forskinfo6C09B4BD87E3F154C1257016003E8D38OAI: oai:DiVA.org:bth-9925DiVA: diva2:837915
Conference
EUSIPCO
Available from: 2012-09-18 Created: 2005-06-04 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
Permanent link

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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
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  • Other locale
More languages
Output format
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