An efficient feedback active noise control algorithm based on reduced-order linear predictive modeling of fMRI acoustic noise

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 12 PART 1, 2011, Pages 3303-3309

  Kannan, Govind ^a,b   Milani, Ali A ^a,c   Panahi, Issa M S ^a   Briggs, Richard W ^a  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

^b Rockwell Semiconductor Systems   (United States)

^c Cirrus Logic   (United States)

Author keywords

acoustic noise; Active noise reduction; magnetic resonance imaging

Indexed keywords

ACOUSTIC WAVEFORM; ACTIVE NOISE REDUCTIONS; ALMOST PERIODIC; BACKGROUND NOISE; ECHO PLANAR IMAGING; FEEDBACK ANC; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRADIENT COIL; LINEAR PREDICTION; LOW ORDER; LOW-COMPLEXITY LINEAR PREDICTION; PREDICTIVE MODELING; QUASI-PERIODICITIES; REDUCED ORDER; WAVE FORMS;

ACOUSTIC VARIABLES CONTROL; ACOUSTICS; ACTIVE NOISE CONTROL; ALGORITHMS; CONTROL EQUIPMENT; MAGNETIC RESONANCE IMAGING;

ACOUSTIC NOISE;

ACOUSTIC NOISE; ACOUSTICS; ALGORITHM; ARTICLE; ECHO PLANAR IMAGING; FEEDBACK SYSTEM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; NOISE; NOISE REDUCTION; SIMULATION;

ACOUSTICS; ALGORITHMS; FEEDBACK; HEAD; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; NOISE; REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; TORSO;

EID: 82155185307     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2010.2096423     Document Type: Article

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