uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Subspace-based MRS Data Quantitation of Multiplets using Prior Knowledge
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. Systems and Control.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. Systems and Control.
Show others and affiliations
2004 (English)In: Journal of Magnetic Resonance, Vol. 168, no 1, 53-65 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2004. Vol. 168, no 1, 53-65 p.
Keyword [en]
MR, NMR, prior knowledge, ATP, spectroscopy, MRS
Identifiers
URN: urn:nbn:se:uu:diva-70181OAI: oai:DiVA.org:uu-70181DiVA: diva2:98092
Available from: 2005-05-04 Created: 2005-05-04 Last updated: 2011-01-12

Open Access in DiVA

No full text

Authority records BETA

Selén, YngveStoica, Peter

Search in DiVA

By author/editor
Selén, YngveStoica, Peter
By organisation
Department of Information TechnologyAutomatic control

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 318 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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