Change search
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
A Comparison of Kalman Filtering Techniques Applied to the Alignment Problem
KTH, School of Electrical Engineering (EES), Signal Processing.
2015 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2015.
Series
EES Examensarbete / Master Thesis, XR-EE-SB 2014:012
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-168594OAI: oai:DiVA.org:kth-168594DiVA: diva2:817370
Educational program
Master of Science in Engineering - Electrical Engineering
Examiners
Available from: 2015-06-05 Created: 2015-06-05 Last updated: 2015-06-05Bibliographically approved

Open Access in DiVA

No full text

By organisation
Signal Processing
Other Electrical Engineering, Electronic Engineering, Information EngineeringSignal Processing

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 90 hits
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