A normalized data-reusing least-mean-square algorithm of noise cancellation for magnetocardiography

Autor:	Ren Yu-Feng, Kong Xiang-Yan, Huang Xu-Guang, Zhang Lihua, Tian Ye, Chen Geng-Hua, Wang Hui-Wu, Yang Qian-Sheng
Rok vydání:	2004
Předmět:	Adaptive filter Noise symbols.namesake Gaussian noise Noise spectral density symbols General Physics and Astronomy Salt-and-pepper noise Noise figure Algorithm Noise floor Noise shaping Mathematics
Zdroj:	Chinese Physics. 13:1820-1825
ISSN:	1741-4199 1009-1963
DOI:	10.1088/1009-1963/13/11/009
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d14aa71149a8798433f605f3cbb08844 https://doi.org/10.1088/1009-1963/13/11/009 Zobrazit plný text záznamu