Abstract We present a new least-mean-square algorithm of adaptive filtering to improve the signal to noise ratio for magnetocardiography data collected with high-temperature SQUID-based magnetometers. By frequently adjusting the adaptive parameter $\alpha $ to systematic optimum values in the course of the programmed procedure, the convergence is accelerated with a highest speed and the minimum steady-state error is obtained simultaneously. This algorithm may be applied to eliminate other non-steady relevant noises as well.
Received: 30 May 2005
Revised: 18 October 2005
Accepted manuscript online:
Fund: Project supported by the Major Program for the Fundamental Research of the Chinese Academy of Sciences, China(Grant No KJCX2-W4) and the National High Technology Research and Development Program of China (Grant No 2002AA306412).
Cite this article:
Li Zhuo (李倬), Chen Geng-Hua (陈庚华), Zhang Li-Hua (张利华), Yang Qian-Sheng (杨乾声), Feng Ji (冯稷) An NLMS algorithm with optimized preparatory step-size parameters for SQUID-based MCG data processing 2006 Chinese Physics 15 310
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