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Improvement of LMS adaptive noise canceller using uniform poly-phase digital filter bank


Mohammed, Alaa Hadi and Che Soh, Azura and Ismail, Noor Faezah and Abdul Rahman, Ribhan Zafira and Mohd Radzi, Mohd Amran (2020) Improvement of LMS adaptive noise canceller using uniform poly-phase digital filter bank. Indonesian Journal of Electrical Engineering and Computer Science, 17 (3). 1258 - 1265. ISSN 2502-4752; ESSN: 2502-4760


This paper presents the Least Mean Square (LMS) noise canceller using uniform poly-phase digital filter bank to improve the noise can-cellation process. Analysis filter bank is used to decompose the full-band distorted input signal into sub-band signals. Decomposition the full-band input distorted signal into sub-band signals based on the fact that the signal to noise ratio (S/N) is inversely proportional to the signal bandwidth. Each sub-band signal is fed to individual LMS algorithm to produce the optimal sub-band output. Synthesis filter bank is used to compose the optimal sub-band outputs to produce the final optimal full-band output. In this paper, m-band uniform Discrete Fourier Transform (DFT) digital filter bank has been used because its computational complexity is much smaller than the direct implementation of digital filter bank. The simulation results show that the proposed method provides the efficient performance with less and smooth error signal as compared to conventional LMS noise canceller.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.11591/ijeecs.v17.i3.pp1258-1265
Publisher: Institute of Advanced Engineering and Science
Keywords: Least mean square (LMS) algorithm; Noise canceller; Poly-phase digital filter bank discrete fourier transform (DFT); Decomposition technique
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 20 Sep 2021 22:35
Last Modified: 20 Sep 2021 22:35
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.11591/ijeecs.v17.i3.pp1258-1265
URI: http://psasir.upm.edu.my/id/eprint/89321
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