Parallel Normalized Filtered X- LMS Algorithm for Noise Cancellation Using Multiple Sub-Filters Approach

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 corrupte...

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Published inI-Manager's Journal on Digital Signal Processing Vol. 4; no. 4; p. 17
Main Authors Anitha, B, Sailaja, C
Format Journal Article
LanguageEnglish
Published Nagercoil iManager Publications 01.10.2016
Subjects
Algorithms
Filters
Noise control
Online AccessGet full text
ISSN2321-7480
2322-0368
DOI10.26634/jdp.4.4.8312

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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.
AbstractList 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.
Author C., SAILAJA
B., ANITHA
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Cites_doi 10.1109/LSP.2013.2282396
10.1109/TE.2003.822632
10.12720/ijsps.4.2.172-176
10.1109/TASL.2011.2169789
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10.26634/jdp.3.3.3593
10.1109/78.752618
10.1109/ICCCT.2010.5640392
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CorporateAuthor Assistant Professor, Department of Electronics and Communication Engineering, Guru Nanak Institutions Technical Campus, Telangana, India
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SubjectTerms Algorithms
Filters
Noise control
Title Parallel Normalized Filtered X- LMS Algorithm for Noise Cancellation Using Multiple Sub-Filters Approach
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