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.
How to Cite this Article?
Anitha. B, and Sailaja. C (2016), Parallel Normalized Filtered X-LMS Algorithm for Noise Cancellation Using Multiple Sub-Filters Approach, i-manager’s Journal on Digital Signal Processing, 4(4), Oct-Dec 2016, 17-21.
References
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