Abstract

In this paper, a novel approach of noise cancellation algorithm using Parallel Normalized Filtered x-LMS (P-NFxLMS) is proposed. The degraded audio signal quality can be improved by using adaptive filters. In general, Least Mean Square (LMS) adaptive filtering algorithms are used to recover corrupted signal. The implementation of LMS algorithm is simple. LMS algorithm exhibits degraded performance if the desired signal has large power fluctuations. The Normalized Fx LMS is also computationally simple and improves the performance of LMS algorithm. In this paper, an algorithm is proposed to decompose a long adaptive filter into multiple sub-filters with lower order, and are implemented in parallel to increase the convergence speed. Finally, the proposed Parallel Normalized Filtered x-LMS (P-NFxLMS) algorithm yields faster convergence with minimum Mean Square Error.

Keywords
Adaptive Noise Cancellation, Adaptive Filter, NFx-LMS,PNFx-LMS, MSE, Weight Updating.

Purchase Instant Access

PDF
10
USD

250
INR

HTML
10
USD

250
INR

Username / Email
Password
Don't have an account?  Sign Up
  • If you would like institutional access to this content, please recommend the title to your librarian.
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.

We strive to bring you the best. Your feedback is of great value to us. Feel free to post your comments and suggestions.