Use of autocorrelation-like function to improve the performance of linear-prediction parameter estimators

M. Fedrigo, Gennaro Esposito, S. Cattarinussi, P. Viglino, F. Fogolari

    Research output: Contribution to journalArticle

    Abstract

    In this work, a novel approach to the usage of an autocorrelation function in order to improve signal-to-noise ratio (SNR) is presented. This method avoids the usual problems entailed by standard autocorrelation function-based approaches to nonstationary signals such as NMR signals. The Cadzow autocorrelation matrix approach to transient data is often not suitable for time-domain signal analysis; in fact, it does not maintain the Hankel structure of the prediction matrix, which is mandatory for many linear-prediction (LP) applications. The approach presented here conserves the Hankel structure of the prediction matrix and, moreover, does not change the frequency and linewidth parameters of the signal components. Furthermore, the proposed autocorrelation-like function permits a weighting of the individual components according to their T2 decay constant. This property opens new possibilities for retrieving signal parameters by LP procedures. These new procedures are applied to simulated 2D signals and ID NMR measurements of phosphorus metabolites in frog mUSCle. C 16 Academic Press, Inc.

    Original languageEnglish (US)
    Pages (from-to)97-107
    Number of pages11
    JournalJournal of Magnetic Resonance - Series A
    Volume121
    Issue number2
    DOIs
    StatePublished - Jan 1 1996

    Fingerprint

    linear prediction
    Autocorrelation
    estimators
    autocorrelation
    Nuclear magnetic resonance
    Signal-To-Noise Ratio
    Anura
    matrices
    Phosphorus
    Signal analysis
    frogs
    Metabolites
    nuclear magnetic resonance
    Linewidth
    signal analysis
    metabolites
    Muscle
    Muscles
    Signal to noise ratio
    muscles

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Use of autocorrelation-like function to improve the performance of linear-prediction parameter estimators. / Fedrigo, M.; Esposito, Gennaro; Cattarinussi, S.; Viglino, P.; Fogolari, F.

    In: Journal of Magnetic Resonance - Series A, Vol. 121, No. 2, 01.01.1996, p. 97-107.

    Research output: Contribution to journalArticle

    Fedrigo, M. ; Esposito, Gennaro ; Cattarinussi, S. ; Viglino, P. ; Fogolari, F. / Use of autocorrelation-like function to improve the performance of linear-prediction parameter estimators. In: Journal of Magnetic Resonance - Series A. 1996 ; Vol. 121, No. 2. pp. 97-107.
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