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Frequency-selective quantification of biomedical magnetic resonance spectroscopy data
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology.
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2000 (English)In: JOURNAL OF MAGNETIC RESONANCE, ISSN 1090-7807, Vol. 143, no 1, 1-16 p.Article in journal (Refereed) Published
Abstract [en]

In this paper the possibility of obtaining accurate estimates of parameters of selected peaks in the presence of unknown or uninteresting spectral features in biomedical magnetic resonance spectroscopy (MRS) signals is investigated. This problem is denote

Place, publisher, year, edition, pages
ACADEMIC PRESS INC , 2000. Vol. 143, no 1, 1-16 p.
Keyword [en]
MRS; frequency-selective quantification; FIR filter; AMARES; NLLS; EXPONENTIALLY DAMPED SINUSOIDS; PRIOR KNOWLEDGE; TIME-DOMAIN; NMR SIGNALS; QUANTITATIVE-ANALYSIS; PARAMETER-ESTIMATION; SOLVENT SUPPRESSION; MRS DATA; ACCURATE; SPECTRA
Identifiers
URN: urn:nbn:se:uu:diva-36571OAI: oai:DiVA.org:uu-36571DiVA: diva2:64470
Note
Addresses: Vanhamme L, Katholieke Univ Leuven, Dept Elect Engn, ESAT, Kard Mercierlaan 94, B-3001 Leuven, Belgium. Katholieke Univ Leuven, Dept Elect Engn, ESAT, B-3001 Leuven, Belgium. Uppsala Univ, Syst & Control Grp, SE-75103 Uppsala, Sweden. KatholiekAvailable from: 2008-10-17 Created: 2008-10-17 Last updated: 2011-01-14

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