Applied Magnetic Resonance

, Volume 6, Issue 3, pp 379–390

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

Authors

  • R. de Beer
    • Department of Applied PhysicsUniversity of Technology Delft
  • D. van Ormondt
    • Department of Applied PhysicsUniversity of Technology Delft
Article

DOI: 10.1007/BF03162631

Cite this article as:
de Beer, R. & van Ormondt, D. Appl. Magn. Reson. (1994) 6: 379. doi:10.1007/BF03162631

Abstract

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

Copyright information

© Springer 1994