Authors: Sarthak Panda; Mihir Narayan Mohanty
Addresses: Department of Electronics and Communication Engineering ITER, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India ' Department of Electronics and Communication Engineering ITER, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India
Abstract: Desire of clean signal at user end is a great demand. Adaptive algorithms are most suitable for such task. In this paper, the authors have taken an attempt for synthetic signal contaminated with impulsive noise. Further, its application has been extended to noisy biomedical signal as ECG. It is very important to eliminate noise from the biomedical signal, as its occurrence is sudden and often similar to the signal. The popular adaptive algorithms have been used for cancellation of impulsive noise. Though different algorithms have been applied earlier, the novelty in this work is application of Wilcoxon LMS for impulsive noise case. Also, it has been modified for the same purpose. The result found excellent in terms of less MSE, SNR improvement and faster convergence.
Keywords: impulsive noise; electrocardiogram; ECG; adaptive algorithm; least mean square; LMS; normalised least mean square; NLMS; Wilcoxon least mean square; WLMS; MA-WLMS.
International Journal of Internet of Things and Cyber-Assurance, 2018 Vol.1 No.2, pp.104 - 118
Received: 05 May 2017
Accepted: 11 Oct 2017
Published online: 08 Jun 2018 *