An NLMS algorithm with optimized preparatory step-size parameters for
 SQUID-based MCG data processing

doi:10.1088/1009-1963/15/2/013

中国物理B ›› 2006, Vol. 15 ›› Issue (2): 310-314.doi: 10.1088/1009-1963/15/2/013

An NLMS algorithm with optimized preparatory step-size parameters for SQUID-based MCG data processing

李倬, 陈庚华, 张利华, 杨乾声, 冯稷

Beijing National Laboratory for Condensed Matter Physics, Institute of Physics,Chinese Academy of Sciences, Beijing 100080, China

收稿日期:2005-05-30 修回日期:2005-10-18 出版日期:2006-02-20 发布日期:2006-02-20
基金资助:
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).

An NLMS algorithm with optimized preparatory step-size parameters for SQUID-based MCG data processing

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)

Beijing National Laboratory for Condensed Matter Physics, Institute of Physics,Chinese Academy of Sciences, Beijing 100080, China

Received:2005-05-30 Revised:2005-10-18 Online:2006-02-20 Published:2006-02-20
Supported by:
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).

摘要/Abstract

摘要： 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.

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.

Key words: magnetocardiography, optimal step size

中图分类号: (Biophysical techniques (research methods))

87.80.-y

87.19.Hh (Cardiac dynamics) 47.63.Cb (Blood flow in cardiovascular system) 02.70.Rr (General statistical methods)

李倬, 陈庚华, 张利华, 杨乾声, 冯稷. An NLMS algorithm with optimized preparatory step-size parameters for SQUID-based MCG data processing[J]. 中国物理B, 2006, 15(2): 310-314.

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[J]. Chinese Physics, 2006, 15(2): 310-314.

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An NLMS algorithm with optimized preparatory step-size parameters for SQUID-based MCG data processing

An NLMS algorithm with optimized preparatory step-size parameters for SQUID-based MCG data processing

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