Research Output
Multi-dimension modelling techniques for reciprocal space of NMR imaging
  In this paper the application of multidimensional modelling techniques to a reciprocal space components of a nuclear magnetic resonance (NMR) imaging system is considered. These include a 2-dimensional input/output autoregressive moving average (ARMA) model, Fornasini and Marchesini (1976) state-space model and identifications based on multidimensional artificial neural networks (ANN).

  • Date:

    31 December 1998

  • Publication Status:

    Published

  • Publisher

    IET

  • DOI:

    10.1049/cp:19980472

  • Library of Congress:

    QD Chemistry

  • Dewey Decimal Classification:

    540 Chemistry

  • Funders:

    Manchester Metropolitan University

Citation

Soufian, M., & Soufian, M. (1998). Multi-dimension modelling techniques for reciprocal space of NMR imaging. In UKACC International Conference on Control '98. (Conf. Publ. No. 455), 1623-1628. https://doi.org/10.1049/cp%3A19980472

Authors

Keywords

ANN, multidimensional modelling techniques, reciprocal space, NMR imaging, nuclear magnetic resonance imaging, input/output autoregressive moving average model, 2D I/O ARMA model, state-space model, identification, multidimensional artificial neural networks

Monthly Views:

Available Documents