• DocumentCode
    307579
  • Title

    Parametric estimation of NMR spectroscopy using matrix pencil

  • Author

    Razavilar, Javad ; Li, Y. ; Liu, K. J Ray

  • Author_Institution
    Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    20-25 Sep 1995
  • Firstpage
    493
  • Abstract
    To determine protein structure by means of NMR spectroscopy, the parameters of NMR spectroscopy have to be estimated. This paper proposes a novel parameter estimation algorithm for NMR spectroscopy. The new algorithm is based on the matrix pencil consisting of the NMR data. Compared with the Kumaresan-Tufts (KT) algorithm, the new algorithm improves the noise threshold by about 6 dB. Its effectiveness is demonstrated by computer simulation
  • Keywords
    biological NMR; biology computing; matrix algebra; parameter estimation; proteins; NMR data; NMR spectroscopy; computer simulation; matrix pencil; noise threshold; parameter estimation algorithm; parametric estimation; protein structure; Computer simulation; Damping; Discrete Fourier transforms; Frequency estimation; Java; Mathematical model; Nuclear magnetic resonance; Parameter estimation; Signal resolution; Spectroscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-2475-7
  • Type

    conf

  • DOI
    10.1109/IEMBS.1995.575216
  • Filename
    575216
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=307579