UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRAB06031


Registration ID:
197863

Page Number

164-168

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Title

Comparison Study of Active Noise Cancellation

Abstract

In this paper, the performance study of “Active Noise Cancellation (ANC) system” in the presence of AWGN has been performed using several algorithms such as Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Filtered x Least means square algorithms (FxLMS). For speech data, ANC system performance is verified by calculating MSE against distinct variable parameters like number of iterations, filter order (M), step size (mu), and Signal to Noise Ratio (SNR). It is noticed that to achieve minimum MSE, FxLMS algorithm outperforms in comparison with other algorithms. A comparison table is prepared based on simulation results for three algorithms using MATLAB tool.

Key Words

ANC, LMS, NLMS, FxLMS, Adaptive filter

Cite This Article

"Comparison Study of Active Noise Cancellation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.164-168, February-2019, Available :http://www.jetir.org/papers/JETIRAB06031.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Comparison Study of Active Noise Cancellation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp164-168, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06031.pdf

Publication Details

Published Paper ID: JETIRAB06031
Registration ID: 197863
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 164-168
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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