A normalized data-reusing least-mean-square algorithm of noise cancellation for magnetocardiography |
| |
Authors: | Kong Xiang-Yan Wang Hui-Wu Tian Ye Huang Xu-Guang Zhang Li-Hu Ren Yu-Feng Chen Geng-Hua and Yang Qian-Sheng |
| |
Institution: | Institute of Physics, Chinese Academy of Sciences, Beijing 100080, China |
| |
Abstract: | An adaptive filter based on Data-Reusing Least-Mean-Square algorithm has been proposed and applied in magnetocardiography (MCG) to suppress ambient noise. Numerical simulation studies indicate that the adaptive filter is a powerful noise suppresser for correlated interferences, especially for those with amplitude changing and time delay. Also the filter has a wide frequency bandwidth. With this filter, the signal-to-noise ratio of an MCG is improved to the intrinsic noise level. The periodic average method for further improvement of the noise level in MCG is also discussed. |
| |
Keywords: | magnetocardiography noise suppression |
本文献已被 维普 等数据库收录! |
| 点击此处可从《中国物理 B》浏览原始摘要信息 |
| 点击此处可从《中国物理 B》下载免费的PDF全文 |