Multi-dimension modelling techniques for reciprocal space of NMR imaging

Soufian, Majeed; Soufian, Mustapha

Abstract

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).

Citation

Soufian, M., & Soufian, M. (1998, September). Multi-dimension modelling techniques for reciprocal space of NMR imaging. Presented at UKACC International Conference on Control 98

• Presentation Conference Type: Conference Paper (published)
• Conference Name: UKACC International Conference on Control 98
• Start Date: Sep 1, 1998
• End Date: Sep 4, 1998
• Acceptance Date: Jul 1, 1998
• Online Publication Date: Aug 6, 2002
• Publication Date: 1998
• Deposit Date: May 5, 2017
• Journal: Ukacc International Conference on Control '98, Vols I&ii
• Pages: 1623-1628
• Series ISSN: 0537-9989
• Book Title: UKACC International Conference on Control '98. (Conf. Publ. No. 455)
• Chapter Number: n/a
• ISBN: 0-85296-708-X
• DOI: https://doi.org/10.1049/cp%3A19980472
• 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 netwo
• Public URL: http://researchrepository.napier.ac.uk/Output/836244