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Correction published on 1 November 2018, see Appl. Sci. 2018, 8(11), 2115.

Open AccessArticle

Active Noise Control Using Modified FsLMS and Hybrid PSOFF Algorithm

Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala 147004, Punjab, India
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Appl. Sci. 2018, 8(5), 686; https://doi.org/10.3390/app8050686
Received: 4 March 2018 / Revised: 17 April 2018 / Accepted: 19 April 2018 / Published: 27 April 2018
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Abstract

Active noise control is an efficient technique for noise cancellation of the system, which has been defined in this paper with the aid of Modified Filtered-s Least Mean Square (MFsLMS) algorithm. The Hybrid Particle Swarm Optimization and Firefly (HPSOFF) algorithm are used to identify the stability factor of the MFsLMS algorithm. The computational difficulty of the modified algorithm is reduced when compared with the original Filtered-s Least Mean Square (FsLMS) algorithm. The noise sources are removed from the signal and it is compared with the existing FsLMS algorithm. The performance of the system is established with the normalized mean square error for two different types of noises. The proposed method has also been compared with the existing algorithms for the same purposes. View Full-Text
Keywords: active noise elimination; MFsLMS algorithm; multichannel ANC; HPSOFF active noise elimination; MFsLMS algorithm; multichannel ANC; HPSOFF
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Walia, R.; Ghosh, S. Active Noise Control Using Modified FsLMS and Hybrid PSOFF Algorithm. Appl. Sci. 2018, 8, 686.

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