Use of adaptive algorithm for impulsive noise cancellation

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.