Extraction of fetal electrocardiogram using recursive least squares and normalized least mean squares algorithms

This paper addresses the problem of fetal electrocardiogram (FECG) extraction using recursive least squares (RLS) and normalized least mean squares (NLMS) adaptive algorithms based adaptive noise canceling (ANC) approach. The simulation results are compared with the classical adaptive filters, such...

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Bibliographic Details

Published in:	2011 3rd International Conference on Advanced Computer Control pp. 333 - 336
Main Authors:	Shi-jin Liu, Da-li Liu, Jing-quan Zhang, Yan-jun Zeng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.01.2011
Subjects:	adaptive algorithms adaptive noise cancellation(ANC) Educational institutions Electrocardiography fetal electrocardiogram (FECG) least mean squares (LMS) Least squares approximation Noise cancellation normalized least mean squares(NLMS) recursive least squares (RLS)
ISBN:	1424488095, 9781424488094
Online Access:	Get full text
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