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Use of global symmetries in automated signal class recognition by a bayesian method

Schulte, A. C. and Görler, A. and Antz, C. and Neidig, Klaus-Peter and Kalbitzer, Hans Robert (1997) Use of global symmetries in automated signal class recognition by a bayesian method. Journal of magnetic resonance 129 (2), pp. 165-172.

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Abstract

Automated or semiautomated pattern recognition in multidimensional NMR spectroscopy is strongly hampered by the large number of noise and artifact peaks occurring under practical conditions. A general Bayesian method which is able to assign probabilities that observed peaks are members of given signal classes (e.g., the class of true resonance peaks or the class of noise and artifact peaks) was ...

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Item Type:Article
Date:1997
Additional information (public):Zeitschrift: 1993 - 1996 Teilung in Unterreihen
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Dr. Hans Robert Kalbitzer
Identification Number:
ValueType
9441881PubMed ID
10.1006/jmre.1997.1241DOI
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:13 Sep 2010 08:13
Last Modified:13 Sep 2010 08:13
Item ID:16553
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