• DocumentCode
    3060217
  • Title

    Comparison between hybrid feedforward-feedback, feedforward, and feedback structures for active noise control of fMRI noise

  • Author

    Reddy, Rajiv M. ; Panahi, Issa M S

  • Author_Institution
    Jonsson Distinguished Graduate Research Fellow at The University of Texas, Dallas, 75080 USA
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    266
  • Lastpage
    269
  • Abstract
    The performance of FIR feedforward, IIR feedforward, FIR feedback, hybrid FIR feedforward - FIR feedback, and hybrid IIR feedforward - FIR feedback structures for active noise control (ANC) are compared for an fMRI noise application. The filtered-input normalized least squares (FxNLMS) algorithm is used to update the coefficients of the adaptive filters in all these structures. Realistic primary and secondary paths of an fMRI bore are used by estimating them on a half cylindrical acrylic bore of 0.76m (D) × 1.52m (L). Detailed results of the performance of the ANC system are presented in the paper for each of these structures. We find that the IIR feedforward structure produces most of the performance improvement in the hybrid IIR feedforward - FIR feedback structure and adding the feedback structure becomes almost redundant in the case of fMRI noise.
  • Keywords
    Acoustic noise; Active noise reduction; Adaptive filters; Boring; Feedback; Finite impulse response filter; Low-frequency noise; Magnetic noise; Noise cancellation; Testing; Algorithms; Artifacts; Feedback; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649141
  • Filename
    4649141