Applied Magnetic Resonance

, Volume 6, Issue 3, pp 379–390 | Cite as

Background features in magnetic resonance signals: Addressed by SVD-based State space modeling

  • R. de Beer
  • D. van Ormondt


The theoretical aspects of singular value decomposition (SVD)-based State Space modeling are outlined. Some examples concerning the removal of background signals are presented.


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Copyright information

© Springer 1994

Authors and Affiliations

  • R. de Beer
    • 1
  • D. van Ormondt
    • 1
  1. 1.Department of Applied PhysicsUniversity of Technology DelftDelftThe Netherlands

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