Open AccessSingular value decomposition and adaptive noise reduction for SQUID-based magnetocardiograms
Author(s) -
Yun Bai,
Xinyuan Liu,
He Ding-Wu,
Ru Hong-Yu,
Qi Liang,
Ji Min-Biao,
Wei Zhao,
Xie Fei-Xiang,
Ruijuan Nie,
Ping Ma,
Yuchao Dai,
Furen Wang
Publication year - 2006
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.55.2651
Subject(s) - singular value decomposition , noise reduction , squid , noise (video) , reduction (mathematics) , acoustics , decomposition , channel (broadcasting) , computer science , value (mathematics) , algorithm , materials science , physics , mathematics , telecommunications , artificial intelligence , chemistry , ecology , geometry , organic chemistry , image (mathematics) , biology , machine learning
This paper shows that the environmental noise in the HTc rf-SQUID-based quasi-periodic magnetocardiograms (MCGs) can be reduced by singular value decomposition (SVD) and adaptive filtering without the reference channel input. Numerical simulation studies indicate that the method is an effective noise suppresser for one channel MCGs.