Abstract We present a complementary least-mean-square algorithm of adaptive filtering for SQUID based magnetocardiography, in which both rapid convergence and fine tracking are realized by switching the weight parameters back and forth between two filters according to the least mean square principle.
Received: 12 January 2005
Revised: 25 January 2005
Accepted manuscript online:
Fund: Project supported by the Ministry of science and Technology of China (Grant No 2002AA306412) and Chinese Academy of Sciences (Grant No KJCX2-W4).
Cite this article:
Li Zhuo (李倬), Chen Geng-Hua (陈赓华), Zhang Li-Hua (张利华), Yang Qian-Sheng (杨乾声), Feng Ji (冯稷) A complementary least-mean-square algorithm of adaptive filtering for SQUID based magnetocardiography 2005 Chinese Physics 14 1095
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