中国物理B ›› 2006, Vol. 15 ›› Issue (2): 310-314.doi: 10.1088/1009-1963/15/2/013
李倬, 陈庚华, 张利华, 杨乾声, 冯稷
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)
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.
中图分类号: (Biophysical techniques (research methods))