Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
566694 | Signal Processing | 2011 | 15 Pages |
Abstract
In this paper, several simple and efficient sign based normalized adaptive filters, which are computationally superior having multiplier free weight update loops are used for cancelation of noise in electrocardiographic (ECG) signals. The proposed implementation is suitable for applications such as biotelemetry, where large signal to noise ratios with less computational complexity are required. These schemes mostly employ simple addition, shift operations and achieve considerable speed up over the other least mean square (LMS) based realizations. Simulation studies shows that the proposed realization gives better performance compared to existing realizations in terms of signal to noise ratio and computational complexity.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Muhammad Zia Ur Rahman, Rafi Ahamed Shaik, D.V. Rama Koti Reddy,